{
  "provenance": {
    "commit": "fb1be803c04a109f15aba152f6660a7b8463be74",
    "branch": "feat/toothfairy4-pipeline",
    "config": {
      "name": "toothfairy4-prototype-v1",
      "seed": 2026,
      "folds": 5,
      "preprocess": {
        "spacing_mm": [
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        ],
        "shape_zyx": [
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        ],
        "clip_percentiles": [
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        ],
        "orientation": "LPS",
        "dtype": "float16"
      },
      "prototypes": {
        "max_prototypes": 1024,
        "min_support": 2,
        "embedder": "tfidf",
        "linkage_threshold": 0.62,
        "max_sentence_words": 60,
        "assign_threshold": 0.45,
        "tooth_aware": true
      },
      "encoder": {
        "backbone": "slice2d",
        "timm_model": "convnext_tiny",
        "width": 32,
        "dropout": 0.2,
        "epochs": 40,
        "batch_size": 4,
        "accumulate": 2,
        "learning_rate": 0.0002,
        "weight_decay": 0.02,
        "warmup_ratio": 0.1,
        "label_smoothing": 0.02,
        "focal_gamma_negative": 2.0,
        "focal_gamma_positive": 0.0,
        "ema_decay": 0.999,
        "amp": true,
        "num_workers": 8,
        "min_head_support": 0,
        "seed": 2026
      },
      "llm": {
        "base_model": "Qwen/Qwen2.5-1.5B-Instruct",
        "enabled": false,
        "lora_rank": 32,
        "lora_alpha": 64,
        "epochs": 3,
        "batch_size": 4,
        "learning_rate": 0.0001,
        "max_length": 1536,
        "max_new_tokens": 512
      },
      "decode": {
        "strategy": "prototype",
        "clinical_weight": 0.8,
        "captioning_weight": 0.2,
        "calibration_rounds": 6,
        "refine_top": 250,
        "min_sentences": 4,
        "max_sentences": 16,
        "mbr_candidates": 24
      }
    }
  },
  "dataset": {
    "cases": 622,
    "prototypes": 989,
    "assign_threshold": 0.45,
    "tooth_aware": true
  },
  "training": {
    "folds": 5,
    "fold_val_map": [
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      0.08048351787180753,
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    "mean_val_map": 0.0737782531351602
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  "calibration": {
    "objective": {
      "final": 0.35358663390798667,
      "clinical": 0.3862701303619008,
      "captioning": 0.22285264809233002,
      "logical_precision": 0.4928832064684155,
      "logical_recall": 0.3175767155686247,
      "bleu_4": 0.14492126109494552,
      "meteor": 0.3007840350897145,
      "mean_sentences": 12.257234726688102
    },
    "baseline_fixed_threshold": {
      "final": 0.3000755511911487,
      "clinical": 0.3236022472744878,
      "captioning": 0.20596876685779228,
      "logical_precision": 0.3846958663879885,
      "logical_recall": 0.2792538876064256,
      "bleu_4": 0.12718854623405096,
      "meteor": 0.2847489874815336,
      "mean_sentences": 11.591639871382636
    },
    "rounds": 6
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  "evaluation": {
    "final": 0.3544252290767211,
    "clinical": 0.38607203617714003,
    "captioning": 0.22783800067504528,
    "logical_precision": 0.49096604984868647,
    "logical_recall": 0.3181086871959718,
    "bleu_4": 0.14926612750396082,
    "meteor": 0.3064098738461298,
    "num_cases": 622,
    "clinical_source": "lexical-surrogate"
  },
  "evaluation_radfact_lite": null,
  "ablation": {
    "corpus prior (no imaging)": {
      "final": 0.35751793649563435,
      "clinical": 0.39374008539376365,
      "captioning": 0.21262934090311725,
      "logical_precision": 0.5385852090032154,
      "logical_recall": 0.31029144605574627,
      "bleu_4": 0.11701313497207318,
      "meteor": 0.30824554683416133,
      "num_cases": 622
    },
    "linear, 122 features": {
      "final": 0.3544252290767211,
      "clinical": 0.38607203617714003,
      "captioning": 0.22783800067504528,
      "logical_precision": 0.49096604984868647,
      "logical_recall": 0.3181086871959718,
      "bleu_4": 0.14926612750396082,
      "meteor": 0.3064098738461298,
      "num_cases": 622
    },
    "fine-tuned encoder (29M params)": {
      "final": 0.3403329756224751,
      "clinical": 0.3752387592094134,
      "captioning": 0.20070984127472175,
      "logical_precision": 0.5481078407123423,
      "logical_recall": 0.2852675303807301,
      "bleu_4": 0.13306690758262765,
      "meteor": 0.26835277496681587,
      "num_cases": 622
    }
  },
  "caveats": [
    "Clinical scores are the repository's offline RadFact surrogate unless 'evaluation_radfact_lite' is populated. The surrogate ranks decoder variants; it is not the challenge metric.",
    "BLEU-4 and METEOR are exact reimplementations of the grader's local implementations and match NLTK to machine precision.",
    "Scores are out-of-fold on the public training release, not the hidden 50-case test set, and the folds are stratified rather than leave-one-centre-out, so they measure in-domain performance."
  ]
}