{"id":"W2796962977","doi":"10.1016/j.jsurg.2018.03.008","title":"Identification of New Tools to Predict Surgical Performance of Novices using a Plastic Surgery Simulator","year":2018,"lang":"en","type":"article","venue":"Journal of surgical education","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Competence (human resources); Trainer; Medicine; EPIC; Simulation; Computer science; Surgery; Physical therapy; Psychology; Operating system","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":[0.001041078,0.0006449389,0.0003522179,0.001881343,0.000295413,0.001178634,0.0004404606,0.0008172885,0.00162859],"category_scores_gemma":[0.009375963,0.0002174868,0.0004900659,0.0005504521,0.0002632152,0.0009294106,0.0007695653,0.0006080067,0.0005252618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002644796,"about_ca_system_score_gemma":0.0006540396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00224574,"about_ca_topic_score_gemma":0.003354427,"domain_scores_codex":[0.9994212,0.0001405211,0.00008339914,0.00007277624,0.0001768742,0.000105148],"domain_scores_gemma":[0.9935771,0.0026065,0.001448614,0.0002383594,0.00123513,0.0008943663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001426935,0.000220316,0.9883863,0.00002150347,0.00002995462,0.00007305758,0.0001040612,0.0002804644,0.0007343927,0.00003219382,0.0001592219,0.009815843],"study_design_scores_gemma":[0.00001115597,0.0009123815,0.9871602,0.00004550046,0.00004091803,0.0004045822,0.0007545989,0.008951433,0.001195916,0.0001458577,0.0003589947,0.00001846488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972591,0.0001071909,0.001123935,0.00005828466,0.00001732251,0.00004023749,0.00019128,0.00002189025,0.001180682],"genre_scores_gemma":[0.9976845,0.00007458128,0.001654161,0.00001827801,0.000007547794,0.00002251845,0.0002324686,0.000004199779,0.0003018045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00224574,"threshold_uncertainty_score":0.00550586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06238620463206809,"score_gpt":0.3597241414280549,"score_spread":0.2973379367959868,"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."}}