{"id":"W1998736487","doi":"10.3166/ria.25.499-524","title":"Diagnostic des connaissances et rétroaction épistémique adaptative en chirurgie","year":2011,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009237908,0.0005589401,0.0007118379,0.002691723,0.001032438,0.007062909,0.001269935,0.0025093,0.005232729],"category_scores_gemma":[0.06398304,0.0002902004,0.0007570253,0.002146173,0.003144484,0.004275624,0.00261182,0.003006126,0.0006114548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0025542,"about_ca_system_score_gemma":0.00275152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00293568,"about_ca_topic_score_gemma":0.003185995,"domain_scores_codex":[0.9937292,0.003235516,0.0004368627,0.0004990438,0.001833851,0.0002653656],"domain_scores_gemma":[0.9756891,0.01930819,0.001362762,0.0008068095,0.002453585,0.0003795042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001030493,0.0003026426,0.08495811,0.001958596,0.0002611245,0.002312176,0.01831893,0.005752567,0.007720256,0.06084109,0.01257399,0.80397],"study_design_scores_gemma":[0.0003025416,0.001729968,0.2159874,0.005113225,0.001089923,0.01433091,0.05853001,0.05109454,0.03575141,0.2976718,0.3177837,0.0006145858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5156665,0.07226366,0.2210861,0.0926332,0.01172523,0.0004694215,0.0006762381,0.001297896,0.08418181],"genre_scores_gemma":[0.9173479,0.01511157,0.05211505,0.002229639,0.001621553,0.0001528358,0.0001782403,0.0001583664,0.01108495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009237908,"threshold_uncertainty_score":0.04885525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1494518943608135,"score_gpt":0.3058853040458597,"score_spread":0.1564334096850462,"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."}}