{"id":"W2941363866","doi":"10.1051/pmed/2019001","title":"Sélection des futurs médecins : sur quelles bases empiriques ?","year":2018,"lang":"fr","type":"article","venue":"Pédagogie médicale","topic":"Innovations in Medical Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2501478,0.001903516,0.004317665,0.00851247,0.006929372,0.0224531,0.007271529,0.005635505,0.01405592],"category_scores_gemma":[0.3642581,0.00124276,0.002565846,0.009803113,0.02976144,0.02785998,0.009617751,0.0102152,0.00203097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0159123,"about_ca_system_score_gemma":0.02865539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02202201,"about_ca_topic_score_gemma":0.02156239,"domain_scores_codex":[0.7405591,0.2020232,0.01030288,0.01479091,0.02956115,0.002762681],"domain_scores_gemma":[0.4805321,0.4434021,0.01719127,0.02180294,0.03384018,0.003231439],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004183548,0.0003442853,0.02723395,0.008284559,0.001257743,0.0002539585,0.03446721,0.003360384,0.0002955106,0.6373163,0.01498201,0.2717857],"study_design_scores_gemma":[0.0002629541,0.0005451171,0.02315894,0.03051271,0.0006798315,0.0002739806,0.04549702,0.008924931,0.001022566,0.7553433,0.1335352,0.0002434307],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05798009,0.1113422,0.2501549,0.4613971,0.005432372,0.002201726,0.001367919,0.0002766358,0.1098471],"genre_scores_gemma":[0.7094809,0.05381369,0.1736685,0.04567824,0.003203989,0.004467035,0.0008963175,0.0003288801,0.008462412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7498522,"threshold_uncertainty_score":0.9247012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08544331791932568,"score_gpt":0.4034039266057757,"score_spread":0.31796060868645,"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."}}