{"id":"W4410588946","doi":"10.1503/cmaj.241702-f","title":"Chutes chez les personnes âgées","year":2025,"lang":"fr","type":"article","venue":"Canadian Medical Association Journal","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Western University","funders":"","keywords":"Computer science; Medicine; World Wide Web; Gynecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002521002,0.0001399636,0.0002334212,0.0006663485,0.001068735,0.0005784324,0.0001853669,0.000851527,0.007382921],"category_scores_gemma":[0.002409313,0.0001422223,0.0001720353,0.001307668,0.0003012952,0.0005625946,0.0003556115,0.0009800218,0.000785276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000824697,"about_ca_system_score_gemma":0.001496252,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1523342,"about_ca_topic_score_gemma":0.2349627,"domain_scores_codex":[0.9996055,0.00006643482,0.00002562678,0.00003631527,0.0001399356,0.000126294],"domain_scores_gemma":[0.9994941,0.00007096732,0.0001760825,0.000008846546,0.00009405598,0.0001559725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001202477,0.0001470406,0.8097693,0.0003657911,0.00003805775,0.004469402,0.005572002,0.00007248665,0.0007925347,0.001768825,0.07269878,0.1041855],"study_design_scores_gemma":[0.00001825375,0.0001824339,0.9211727,0.0008911518,0.0000411644,0.007624796,0.009199747,0.0001379434,0.0001495218,0.0005602366,0.05999113,0.00003086336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8683029,0.05236477,0.0007137061,0.0293327,0.002256679,0.00009114448,0.004179171,0.00005747116,0.04270127],"genre_scores_gemma":[0.933027,0.04758192,0.0007261132,0.005720987,0.001384835,0.0000839787,0.001247844,0.00001677779,0.01021047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8476658,"threshold_uncertainty_score":0.3028951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175444121897364,"score_gpt":0.3309700086000458,"score_spread":0.3134255964103094,"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."}}