{"id":"W4413951603","doi":"10.1136/bmj-2025-084845","title":"Reducing unnecessary imaging in ankle and foot trauma","year":2025,"lang":"en","type":"article","venue":"BMJ","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Ankle; Foot (prosody); Computer science; Data science; Medicine; Physical medicine and rehabilitation; Surgery; Art","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":[0.002151081,0.0002173359,0.0003914857,0.002277111,0.001162421,0.001468421,0.0007491244,0.002088615,0.01228193],"category_scores_gemma":[0.06508739,0.0003319634,0.0006842542,0.002030088,0.0005153595,0.001101125,0.001298906,0.001985413,0.0006276622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002782325,"about_ca_system_score_gemma":0.005419289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03764865,"about_ca_topic_score_gemma":0.05046618,"domain_scores_codex":[0.9943242,0.002375832,0.0005579208,0.0001692661,0.001683077,0.0008897737],"domain_scores_gemma":[0.9715794,0.01298804,0.006389151,0.0005701663,0.004554322,0.003918902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001011382,0.003619328,0.5627562,0.002126809,0.0003919009,0.000918738,0.001937833,0.0016706,0.0008665587,0.001624879,0.05367968,0.369396],"study_design_scores_gemma":[0.0003306908,0.001197675,0.9722006,0.001839988,0.0002584686,0.001537641,0.002755005,0.002178658,0.0002946011,0.003126306,0.01422161,0.00005865073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7729035,0.02173834,0.001694141,0.1477987,0.001726833,0.0002323147,0.001123624,0.0001261521,0.05265636],"genre_scores_gemma":[0.9856391,0.004453476,0.002030876,0.00514766,0.001215633,0.00005882236,0.0002608011,0.00002405107,0.001169552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03764865,"threshold_uncertainty_score":0.07485902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4535446682363808,"score_gpt":0.5743710722103121,"score_spread":0.1208264039739314,"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."}}