{"id":"W2001965476","doi":"10.1051/pmed/2011020","title":"Les entrevues structurées multiples pour la sélection des candidats aux programmes de formation en médecine","year":2011,"lang":"fr","type":"article","venue":"Pédagogie médicale","topic":"Medical Education and Admissions","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000614056,0.0003065241,0.0003739565,0.0001872463,0.0003541078,0.00006259554,0.000209525,0.0003961539,0.020453],"category_scores_gemma":[0.007170554,0.0002569057,0.0001589782,0.0002924588,0.0005742169,0.0002823196,0.00007493969,0.0005475561,0.00019444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003664036,"about_ca_system_score_gemma":0.001428747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002014124,"about_ca_topic_score_gemma":0.0002859771,"domain_scores_codex":[0.9975464,0.0004382996,0.0005549036,0.0003459035,0.0003752309,0.0007392705],"domain_scores_gemma":[0.9972161,0.0004979261,0.0001690541,0.0002998817,0.0001797481,0.001637314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001287892,0.001593218,0.04703085,0.001084418,0.0001151725,0.00005212702,0.03032921,0.000002411883,0.003599382,0.003650127,0.01928239,0.8931319],"study_design_scores_gemma":[0.004732328,0.0006021698,0.3479075,0.003216936,0.000727886,0.0006834707,0.03804158,0.004611477,0.03696517,0.01057301,0.5511912,0.0007473166],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8562939,0.04228982,0.02309645,0.03970143,0.002945156,0.001509043,0.00009167871,0.0006620354,0.03341054],"genre_scores_gemma":[0.9048738,0.005644245,0.02237474,0.0008026194,0.001591655,0.00009704618,0.0001293794,0.00005480637,0.06443165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8923846,"threshold_uncertainty_score":0.9999883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1906789498770167,"score_gpt":0.4010233330215771,"score_spread":0.2103443831445604,"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."}}