{"id":"W2090883258","doi":"10.1016/s0002-9610(01)00550-5","title":"Evaluating surgical resident selection procedures","year":2001,"lang":"en","type":"article","venue":"The American Journal of Surgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cronbach's alpha; Medicine; Inter-rater reliability; Selection (genetic algorithm); Spearman's rank correlation coefficient; Interview; Rating scale; Rank correlation; Rank (graph theory); Reliability (semiconductor); Pairwise comparison; Applied psychology; Statistics; Medical education; Clinical psychology; Psychometrics; Psychology; Computer science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001796247,0.00007978749,0.0003719448,0.0001444053,0.00009065441,0.00001853572,0.0000502504,0.00001537112,0.0003162107],"category_scores_gemma":[0.0007991066,0.00004585256,0.0002146889,0.0005617685,0.0001245198,0.00006715575,0.00000969042,0.0002431786,0.00001021295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004629574,"about_ca_system_score_gemma":0.0002382455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001803045,"about_ca_topic_score_gemma":9.014817e-7,"domain_scores_codex":[0.9986097,0.0001904504,0.000456878,0.00007802201,0.000489645,0.000175329],"domain_scores_gemma":[0.9976677,0.001371517,0.0005109439,0.00007797824,0.0002438411,0.0001280609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004697612,0.00011666,0.5882083,0.00001424465,0.0001869727,0.000592211,0.0004025591,0.00144956,0.0005399915,0.00004849881,0.0005028252,0.4032406],"study_design_scores_gemma":[0.002007738,0.0007105733,0.9669239,0.0004214695,0.0002086687,0.01428358,0.001606882,0.002055008,0.000326319,0.0002786108,0.01099767,0.0001795615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962465,0.0002126336,0.00006235194,0.002172916,0.0001106916,0.00004693386,1.047954e-7,0.00001873037,0.001129106],"genre_scores_gemma":[0.9983476,0.0002060192,0.0001556943,0.0004906455,0.0005893053,0.000001219384,5.212577e-7,0.00001156384,0.0001973633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.403061,"threshold_uncertainty_score":0.3462285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1135526282430185,"score_gpt":0.3999478771465808,"score_spread":0.2863952489035623,"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."}}