{"id":"W2031080069","doi":"10.7202/1024954ar","title":"Utilisation du Mini Entrevues Multiples en contexte francophone","year":2014,"lang":"fr","type":"article","venue":"Mesure et évaluation en éducation","topic":"Medical Education and Admissions","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Sherbrooke","funders":"","keywords":"Humanities; Art; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01594373,0.0003745981,0.0004986026,0.0002728884,0.0002670528,0.00007978959,0.0001939826,0.0004721142,0.02211734],"category_scores_gemma":[0.06098939,0.000368523,0.0001828715,0.0005315107,0.000166067,0.0004112331,0.00003761882,0.0005312316,0.002178417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005385267,"about_ca_system_score_gemma":0.00341845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000279987,"about_ca_topic_score_gemma":0.0001339318,"domain_scores_codex":[0.9899266,0.007090286,0.0009524992,0.0006094182,0.0009654393,0.0004556916],"domain_scores_gemma":[0.9934813,0.003876367,0.000451992,0.0006104645,0.0006695138,0.0009103391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001181802,0.002211421,0.01785133,0.0006865454,0.0001838572,0.000002294769,0.3629383,0.0002803958,0.008416728,0.01022864,0.2193025,0.3777798],"study_design_scores_gemma":[0.002693375,0.0002094149,0.5127012,0.001101689,0.0003087409,0.00002704068,0.01193198,0.03408702,0.001742707,0.001280595,0.4335257,0.0003905471],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3866398,0.006400744,0.05774245,0.4923414,0.04041141,0.002216697,0.00004886106,0.0002941331,0.01390451],"genre_scores_gemma":[0.9537674,0.001416184,0.003553021,0.005582589,0.005800323,0.0001292599,0.001158337,0.00006029501,0.02853265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5671275,"threshold_uncertainty_score":0.9998767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04725834271674634,"score_gpt":0.3674839253645557,"score_spread":0.3202255826478093,"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."}}