{
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    "decisions": 27303
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  "active_subsets": 84,
  "active_totals": {
    "cases": 11843,
    "decisions": 24103
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    "recall_balanced_steps": 304,
    "near_linear_strict": 280,
    "context_first": 288,
    "precision_heavy": 304,
    "broad_topic_credit": 304,
    "strict_direct_answer": 280,
    "high_grade_concentration": 248,
    "strict_precision_anchor": 328,
    "answer_threshold_emphasis": 336,
    "topic_vs_context": 328,
    "broad_low_grade_value": 408,
    "strict_context_discount": 200,
    "strict_high_grade_only": 272,
    "context_vs_directness": 248,
    "broad_recall_anchor": 400,
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    "partial_answer_priority": 304
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  "retrieval_family_counts": {
    "broad": 2288,
    "standard": 2072,
    "strict": 1632
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  "retrieval_floor_counts": {
    "source_positive_floor_retained": 363,
    "source_positive_floor_removed": 141
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  "retrieval_query_groups": 749,
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      "cases": 100,
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    "arc": {
      "cases": 100,
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    "argument_quality": {
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    "banking77": {
      "cases": 100,
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    "bbq": {
      "cases": 100,
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    },
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        "choice": 100
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      "types": {
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    },
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      "cases": 100,
      "decisions": 700,
      "types": {
        "noul": 700
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    },
    "cladder": {
      "cases": 100,
      "decisions": 100,
      "types": {
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    },
    "clinc": {
      "cases": 151,
      "decisions": 151,
      "types": {
        "choice": 151
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    "contract_nli": {
      "cases": 100,
      "decisions": 1700,
      "types": {
        "choice": 1700
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    },
    "corr2cause": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
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    },
    "creak": {
      "cases": 100,
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      "types": {
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    },
    "crows_pairs": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
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    },
    "dbpedia": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
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    },
    "defeasible_nli": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
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    },
    "enron_spam": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "noul": 100
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    },
    "esci": {
      "cases": 100,
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    },
    "ethics": {
      "cases": 100,
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        "noul": 82,
        "choice": 18
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    },
    "ethos": {
      "cases": 100,
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    },
    "few_nerd": {
      "cases": 100,
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      "types": {
        "choice": 358
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    },
    "fol_nli": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
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    },
    "followir_core17": {
      "cases": 100,
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      "types": {
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    },
    "followir_news21": {
      "cases": 100,
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      "types": {
        "noul": 200
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    },
    "followir_robust04": {
      "cases": 100,
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    },
    "go_emotions": {
      "cases": 100,
      "decisions": 2800,
      "types": {
        "noul": 2800
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    },
    "gretel_pii": {
      "cases": 100,
      "decisions": 353,
      "types": {
        "choice": 353
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    },
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      "cases": 100,
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      "cases": 100,
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    },
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      "cases": 100,
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        "choice": 100
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    },
    "hwu64": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
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    },
    "impli": {
      "cases": 100,
      "decisions": 100,
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    "lexcomp": {
      "cases": 100,
      "decisions": 100,
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        "noul": 100
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    "logical_entailment": {
      "cases": 100,
      "decisions": 100,
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        "noul": 100
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    "lonli": {
      "cases": 100,
      "decisions": 100,
      "types": {
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      "cases": 100,
      "decisions": 200,
      "types": {
        "choice": 200
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    },
    "miqa": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
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    },
    "mtop": {
      "cases": 100,
      "decisions": 200,
      "types": {
        "choice": 200
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    },
    "nlsat": {
      "cases": 100,
      "decisions": 100,
      "types": {
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    },
    "openbookqa": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
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    "patent_similarity": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "score": 100
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    },
    "paws": {
      "cases": 100,
      "decisions": 100,
      "types": {
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    },
    "plane": {
      "cases": 100,
      "decisions": 100,
      "types": {
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    },
    "poem_sentiment": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
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    },
    "qasper": {
      "cases": 100,
      "decisions": 100,
      "types": {
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    },
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      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
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    },
    "robust_lr": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
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    "ruletaker": {
      "cases": 100,
      "decisions": 100,
      "types": {
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    },
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      "cases": 100,
      "decisions": 100,
      "types": {
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    "scitail": {
      "cases": 100,
      "decisions": 100,
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    "scone": {
      "cases": 100,
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      "cases": 100,
      "decisions": 100,
      "types": {
        "noul": 100
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    },
    "sgd": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
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    },
    "snli": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
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    },
    "spartqa": {
      "cases": 100,
      "decisions": 100,
      "types": {
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    },
    "stepgame": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
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    },
    "synthetic_relevance__nanobeir__NanoArguAna": {
      "cases": 400,
      "decisions": 800,
      "types": {
        "score": 400,
        "noul": 400
      }
    },
    "synthetic_relevance__nanobeir__NanoClimateFEVER": {
      "cases": 400,
      "decisions": 800,
      "types": {
        "score": 400,
        "noul": 400
      }
    },
    "synthetic_relevance__nanobeir__NanoDBPedia": {
      "cases": 400,
      "decisions": 800,
      "types": {
        "score": 400,
        "noul": 400
      }
    },
    "synthetic_relevance__nanobeir__NanoFEVER": {
      "cases": 400,
      "decisions": 800,
      "types": {
        "score": 400,
        "noul": 400
      }
    },
    "synthetic_relevance__nanobeir__NanoFiQA2018": {
      "cases": 400,
      "decisions": 800,
      "types": {
        "score": 400,
        "noul": 400
      }
    },
    "synthetic_relevance__nanobeir__NanoHotpotQA": {
      "cases": 400,
      "decisions": 800,
      "types": {
        "score": 400,
        "noul": 400
      }
    },
    "synthetic_relevance__nanobeir__NanoMSMARCO": {
      "cases": 400,
      "decisions": 800,
      "types": {
        "score": 400,
        "noul": 400
      }
    },
    "synthetic_relevance__nanobeir__NanoNFCorpus": {
      "cases": 400,
      "decisions": 800,
      "types": {
        "score": 400,
        "noul": 400
      }
    },
    "synthetic_relevance__nanobeir__NanoNQ": {
      "cases": 400,
      "decisions": 800,
      "types": {
        "score": 400,
        "noul": 400
      }
    },
    "synthetic_relevance__nanobeir__NanoQuoraRetrieval": {
      "cases": 400,
      "decisions": 800,
      "types": {
        "score": 400,
        "noul": 400
      }
    },
    "synthetic_relevance__nanobeir__NanoSCIDOCS": {
      "cases": 400,
      "decisions": 800,
      "types": {
        "score": 400,
        "noul": 400
      }
    },
    "synthetic_relevance__nanobeir__NanoSciFact": {
      "cases": 400,
      "decisions": 800,
      "types": {
        "score": 400,
        "noul": 400
      }
    },
    "synthetic_relevance__nanobeir__NanoTouche2020": {
      "cases": 392,
      "decisions": 784,
      "types": {
        "score": 392,
        "noul": 392
      }
    },
    "synthetic_relevance__nanocoir": {
      "cases": 800,
      "decisions": 1600,
      "types": {
        "score": 800,
        "noul": 800
      }
    },
    "temporal_nli": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
      }
    },
    "tracie": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "noul": 100
      }
    },
    "typed_decisions": {
      "cases": 100,
      "decisions": 500,
      "types": {
        "choice": 148,
        "noul": 152,
        "score": 200
      }
    },
    "ud_ewt": {
      "cases": 100,
      "decisions": 1509,
      "types": {
        "choice": 1509
      }
    },
    "winobias": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
      }
    },
    "winowhy": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "noul": 100
      }
    },
    "wiqa": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
      }
    },
    "s1mb-generalization-diverse-score": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "score": 100
      }
    },
    "s1mb-generalization-diverse-noul": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "noul": 100
      }
    },
    "s1mb-generalization-diverse-choice": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
      }
    },
    "s1mb-generalization-contextual-score": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "score": 100
      }
    },
    "s1mb-generalization-contextual-noul": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "noul": 100
      }
    },
    "s1mb-generalization-contextual-choice": {
      "cases": 100,
      "decisions": 100,
      "types": {
        "choice": 100
      }
    }
  },
  "validation": "All rows: schema, inference boundary, native rendering, persisted logical hash, source supervision protection except explicit retrieval policy mapping. Every subset reloaded.",
  "generalization": "Instructions/criteria/targets preserved; generic system prompt removed.",
  "model_evaluation": "Not performed; no performance or generalization claim.",
  "source_unchanged": true,
  "independent_verification": {
    "counts": {
      "cases": 13443,
      "decisions": 27303,
      "bekko_exact_dual_matches": 5992,
      "retrieval_cases": 5992,
      "original_floor": 504
    },
    "family_counts": {
      "broad": 2288,
      "standard": 2072,
      "strict": 1632
    },
    "query_groups": 749,
    "contextual_families_preserved": 60,
    "s1mb_evaluator": "All cases converted; target-probability oracle Noul Brier and Score normalized MAE zero (validation, not model performance).",
    "oracle_checks": 63,
    "inference_boundary": "All rows unaffected by removed targets/provenance/case identifiers",
    "checksums": "All output and original source files match",
    "active_subsets": 84,
    "quarantine_subsets": 4,
    "source_references": "All 88 subsets include observed row provenance references"
  },
  "tests": "52 unique tests passed",
  "luna_review": "Dual-task semantics/counts checked; README generalization scale scope clarified."
}