{"id":"W6910506901","doi":"10.48448/p538-av02","title":"Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation","year":2024,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Western University","funders":"","keywords":"Search engine indexing; Leverage (statistics); Documentation; Coding (social sciences); Medical classification; Medical diagnosis; Multi-label classification; Health records","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001893425,0.001266981,0.002158185,0.002158892,0.0007138113,0.001298184,0.002488517,0.001787134,0.002572002],"category_scores_gemma":[0.004492725,0.0003705298,0.001187122,0.002164288,0.0004768705,0.001464231,0.0008215522,0.001667106,0.002486804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009601529,"about_ca_system_score_gemma":0.001469847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01396983,"about_ca_topic_score_gemma":0.02190779,"domain_scores_codex":[0.998601,0.000424531,0.00009491259,0.0003370447,0.0003863534,0.0001561207],"domain_scores_gemma":[0.9979868,0.0008890035,0.0002102892,0.000270095,0.0005239324,0.0001198078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009282693,0.001257069,0.005611487,0.0003365426,0.0002434327,0.0002386221,0.0001597404,0.1985624,0.01177422,0.003941818,0.02912284,0.7478235],"study_design_scores_gemma":[0.00003242153,0.0001411511,0.0004938088,0.00001023082,0.00003484478,0.0000566252,0.00001668721,0.9950154,0.001663589,0.001511923,0.001001955,0.00002134928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09551581,0.004594667,0.8867229,0.001338481,0.0003273965,0.0003952332,0.001574891,0.00623488,0.003295773],"genre_scores_gemma":[0.5692317,0.001304772,0.407679,0.001149317,0.0005550954,0.0003723404,0.004561603,0.0002717885,0.01487427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01396983,"threshold_uncertainty_score":0.02777708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.117629466024146,"score_gpt":0.3972613984009125,"score_spread":0.2796319323767665,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}