doctomodernbert-fr-incertain

Binary classifier (SUR / INCERTAIN) fine-tuned from doctolib-lab/doctomodernbert-fr-base.

  • Input format: <dp_chap> [SEP] <text>
  • Labels: generated by an LLM (Gemini), not human-annotated.
  • Training data: synthetic only, no patient data.
  • Test metrics (500 examples, INCERTAIN class): precision = 0.870, recall = 0.724, F1 = 0.790
  • Accuracy: 0.844 (macro F1 0.833)
  • Split: random stratified on dp_chap + label, so codes in the test set also appear in training.
  • Limits: not validated on unseen codes; not for clinical decisions.
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