{"id":"W2472248622","doi":"","title":"Predictive Validity of the ProMIS Hybrid Simulator in a Urology Residency Training Program","year":2015,"lang":"en","type":"article","venue":"","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Predictive validity; Medicine; Test (biology); Medical physics; Physical therapy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004351655,0.0003465259,0.0002461615,0.001171289,0.0002942973,0.0005382839,0.0004806787,0.0002967791,0.001649734],"category_scores_gemma":[0.02473363,0.0001825824,0.0003773547,0.000576987,0.0003072233,0.000549509,0.001113152,0.000399392,0.0003022758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004257589,"about_ca_system_score_gemma":0.0009825418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001233129,"about_ca_topic_score_gemma":0.001970784,"domain_scores_codex":[0.9977252,0.0009705072,0.0001651591,0.0002015414,0.000758939,0.0001785663],"domain_scores_gemma":[0.9851664,0.006606632,0.00333872,0.0007518277,0.002547663,0.001588762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001096903,0.0001133096,0.9825516,0.0000269091,0.00002716032,0.00004114048,0.0002283498,0.0007936175,0.0002761166,0.00005252958,0.0002286597,0.01555089],"study_design_scores_gemma":[0.00001374636,0.001355569,0.9820248,0.00007185344,0.00003830795,0.0004343559,0.0008013102,0.01268624,0.001170785,0.0001338489,0.001252289,0.00001689983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997453,0.0001153192,0.0009400971,0.0001062754,0.00002447984,0.00003718489,0.0001392609,0.000030354,0.001154022],"genre_scores_gemma":[0.9987273,0.00004876472,0.0008451102,0.00001947027,0.00001092994,0.00002394966,0.0001537605,0.000003450861,0.00016723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004351655,"threshold_uncertainty_score":0.02301407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1369364705688149,"score_gpt":0.3566637036556151,"score_spread":0.2197272330868001,"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."}}