{"id":"W3036449309","doi":"10.1016/j.jsurg.2020.06.004","title":"Competency Assessment for Mediastinal Mass Resection and Thymectomy: Design and Delphi Review Process","year":2020,"lang":"en","type":"article","venue":"Journal of surgical education","topic":"Myasthenia Gravis and Thymoma","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Cancer Institute","keywords":"Thymectomy; Medicine; Delphi method; Competence (human resources); Cardiothoracic surgery; Cronbach's alpha; Delphi; Medical physics; Competency assessment; General surgery; Surgery; Medical education; Psychology; Myasthenia gravis; Computer science; Psychometrics; Internal medicine","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":[0.000582908,0.00007797367,0.0002884307,0.00004655833,0.00004692428,0.00001861606,0.00003254637,0.00003598912,0.00004734948],"category_scores_gemma":[0.0001869105,0.00005435507,0.00005104558,0.000115508,0.0000267132,0.0001037964,0.000005329135,0.0001698833,4.213123e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002838098,"about_ca_system_score_gemma":0.0005374189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.73181e-7,"about_ca_topic_score_gemma":1.244053e-7,"domain_scores_codex":[0.9991668,0.00006333632,0.0003528056,0.0001080528,0.0002229394,0.00008602873],"domain_scores_gemma":[0.9989325,0.0001466844,0.0002401297,0.00004007296,0.0003969132,0.0002436491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01634504,0.00410836,0.07490933,0.05280864,0.0009280442,0.0003953546,0.006643874,0.00006162439,0.01675348,0.01620986,0.05336407,0.7574723],"study_design_scores_gemma":[0.04319822,0.04774445,0.2550777,0.04803821,0.005897927,0.03108754,0.007505594,0.02432023,0.004576783,0.03613154,0.49444,0.00198182],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7065687,0.05997835,0.0402861,0.1894356,0.0006087164,0.002211946,0.000003205836,0.00002535327,0.0008820947],"genre_scores_gemma":[0.9428889,0.01926617,0.0348867,0.001753996,0.00109513,0.00003753166,0.00001020836,0.00001768328,0.00004371144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7554905,"threshold_uncertainty_score":0.2216535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04528557392647708,"score_gpt":0.3779453010841921,"score_spread":0.332659727157715,"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."}}