{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001267084,0.0004050592,0.000490167,0.000412718,0.0006506962,0.0001018021,0.0003129528,0.0005503737,0.007073152],"category_scores_gemma":[0.00629935,0.0003964235,0.000172157,0.001541853,0.003041948,0.0004366761,0.0001160717,0.0007574618,0.001729195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008936778,"about_ca_system_score_gemma":0.001209743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005757223,"about_ca_topic_score_gemma":0.0003542065,"domain_scores_codex":[0.9963704,0.0002799673,0.0008455102,0.000671329,0.0008082018,0.001024541],"domain_scores_gemma":[0.9971015,0.0003208019,0.0002176881,0.0007506498,0.001253791,0.0003555723],"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":[0.0000909058,0.001220055,0.01938603,0.0003802006,0.0001052209,0.00002600583,0.003333261,0.000001555799,0.001578946,0.001797528,0.3926386,0.5794417],"study_design_scores_gemma":[0.001151635,0.001080815,0.04571511,0.001497945,0.0002639485,0.0001447541,0.004509922,0.001708747,0.01419601,0.002520013,0.9267525,0.0004585652],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8547176,0.0258285,0.01519483,0.04713234,0.01940584,0.0007789919,0.00003825979,0.0005227209,0.03638097],"genre_scores_gemma":[0.5839316,0.008581074,0.03131007,0.01688329,0.04268961,0.0002020679,0.0003103651,0.0002452502,0.3158466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5789831,"threshold_uncertainty_score":0.9998488,"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."}}