{"id":"W2608472217","doi":"10.4300/jgme-d-16-00517.1","title":"Passing a Technical Skills Examination in the First Year of Surgical Residency Can Predict Future Performance","year":2017,"lang":"en","type":"article","venue":"Journal of Graduate Medical Education","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medical education; Residency training; MEDLINE; Medicine; Computer science; Medical physics; Data science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001964839,0.00008367554,0.0002553281,0.0001498094,0.0001345352,0.00002954503,0.0002527467,0.0001316422,0.0001029018],"category_scores_gemma":[0.001930677,0.00005014571,0.0000962323,0.0001540942,0.0001663237,0.0001552335,0.00002075183,0.0005991306,0.000001344131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007918334,"about_ca_system_score_gemma":0.0008738321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002062376,"about_ca_topic_score_gemma":0.00004493653,"domain_scores_codex":[0.9979987,0.0001027983,0.0005932859,0.00009613355,0.001078519,0.0001306247],"domain_scores_gemma":[0.9986319,0.0002223575,0.000510908,0.0002238912,0.000254041,0.0001569],"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":[0.000341077,0.002326316,0.4834434,0.0002028598,0.00003785549,0.0001699143,0.003045135,0.00001164699,0.00001677387,0.001201782,0.002124311,0.5070789],"study_design_scores_gemma":[0.002169235,0.0002433658,0.9894378,0.0009713856,0.00004184207,0.0004335235,0.000859297,0.0003790841,0.00002442515,0.0001904535,0.005198966,0.00005060076],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954616,0.0000910278,0.00001512647,0.0425282,0.000495741,0.0001249373,6.881715e-7,0.00000509689,0.002123205],"genre_scores_gemma":[0.9978717,0.0004782819,0.0002338011,0.0002573568,0.001096827,0.000003365695,0.000006796191,0.000007234144,0.00004465114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5070283,"threshold_uncertainty_score":0.2602958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899698381807543,"score_gpt":0.3403507014135194,"score_spread":0.311353717595444,"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."}}