{"id":"W4362653672","doi":"10.1051/pmed/2023002","title":"Formalisation de la scénarisation d’un dispositif de formation avec patients simulés : la méthode SIMPS (Sujets/Instructions au candidat/Mesures/Patient/Support technique)","year":2023,"lang":"fr","type":"article","venue":"Pédagogie médicale","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut du Savoir Montfort; University of Ottawa","funders":"","keywords":"Philosophy; Humanities; Physics; Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.00305013,0.0005121686,0.000496063,0.0008061532,0.0009773612,0.0001756142,0.0002888121,0.001009457,0.0008606828],"category_scores_gemma":[0.001818518,0.0005947407,0.0002464044,0.001499979,0.0004939873,0.001054727,0.0001323394,0.001001378,0.0003311865],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004478139,"about_ca_system_score_gemma":0.003415348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001689736,"about_ca_topic_score_gemma":0.0000893677,"domain_scores_codex":[0.9936374,0.001770114,0.001470317,0.0006377017,0.001077864,0.001406586],"domain_scores_gemma":[0.994507,0.002531282,0.0006126893,0.0007634716,0.0007132972,0.0008722376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003261371,0.001044489,0.6616405,0.001763003,0.0001306436,0.00006270112,0.06698588,0.01475902,0.0005106695,0.002033839,0.01265299,0.2380902],"study_design_scores_gemma":[0.00457342,0.001130955,0.7571994,0.001658715,0.0007078396,0.0003263237,0.01571242,0.1547222,0.00998223,0.01022583,0.04253985,0.001220767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9072232,0.0003173355,0.07758796,0.005027063,0.003008715,0.002654028,0.0005539809,0.0008036366,0.002824055],"genre_scores_gemma":[0.985907,0.0004301871,0.005292519,0.001004463,0.001161083,0.0008109944,0.003751312,0.0001365793,0.001505924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2368694,"threshold_uncertainty_score":0.9996504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04443789161455448,"score_gpt":0.3755102234373166,"score_spread":0.3310723318227621,"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."}}