{"id":"W2020544282","doi":"10.1016/j.suronc.2010.09.004","title":"Objective assessment, selection, and certification in surgery","year":2010,"lang":"en","type":"article","venue":"Surgical Oncology","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; Montreal General Hospital","funders":"","keywords":"Certification; Competence (human resources); Selection (genetic algorithm); Computer science; Risk analysis (engineering); Variety (cybernetics); Medical physics; Medicine; Psychology; Artificial intelligence","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":[0.0005340653,0.0000728681,0.0002727754,0.0001394146,0.00004449799,0.000008099017,0.00001679182,0.0001845786,0.0007797033],"category_scores_gemma":[0.0001748938,0.00006119788,0.00004604665,0.0002873877,0.00007665948,0.00004993782,0.00001235493,0.000433,0.00001545731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006744891,"about_ca_system_score_gemma":0.0001782671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000366092,"about_ca_topic_score_gemma":0.0001896005,"domain_scores_codex":[0.9991803,0.0000985342,0.000242958,0.0002140225,0.00009825857,0.0001658912],"domain_scores_gemma":[0.9984865,0.001194583,0.00005389525,0.00006849374,0.00007213775,0.0001244226],"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":[0.00030331,0.0003178249,0.4521024,0.000009917142,0.00001918527,0.0001485798,0.00009466575,0.000008177587,0.001030966,0.005524393,0.00003821298,0.5404024],"study_design_scores_gemma":[0.001475709,0.00009599426,0.5918511,0.000006842538,0.00001187918,0.0001998611,0.0000467566,0.001475679,0.0001095222,0.0005187299,0.4041381,0.00006979969],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8721718,0.00001557199,0.00003466245,0.001298737,0.0002275179,0.0001386885,5.895607e-7,0.00004883004,0.1260636],"genre_scores_gemma":[0.9990927,0.00003049543,0.0003130406,0.0002269375,0.0001353907,0.00002110749,0.00001502771,0.000007457721,0.0001578213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5403326,"threshold_uncertainty_score":0.8537205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04181119450101596,"score_gpt":0.3838090050955653,"score_spread":0.3419978105945494,"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."}}