{"id":"W2805385970","doi":"10.1016/j.gie.2018.04.017","title":"73 A PROSPECTIVE MULTICENTER STUDY EVALUATING EUS AND ERCP COMPETENCE DURING ADVANCED ENDOSCOPY TRAINING AND SUBSEQUENT INDEPENDENT PRACTICE: THE RAPID ASSESSMENT OF TRAINEE ENDOSCOPY SKILLS (RATES2) STUDY","year":2018,"lang":"en","type":"article","venue":"Gastrointestinal Endoscopy","topic":"Gallbladder and Bile Duct Disorders","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; CUSUM; Competence (human resources); Endoscopy; Learning curve; Medical physics; Surgery; General surgery; Computer science; Operations management","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002080416,0.0006184955,0.0009144533,0.0002313373,0.0004817533,0.0001201978,0.0002820518,0.00004883813,0.0001306175],"category_scores_gemma":[0.002326908,0.0004253543,0.0001064318,0.0004072662,0.0006468432,0.0003981891,0.0002787263,0.0007957708,0.000003839181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001918119,"about_ca_system_score_gemma":0.0003849945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001899586,"about_ca_topic_score_gemma":0.000121575,"domain_scores_codex":[0.9951175,0.000755478,0.001008669,0.001086809,0.001190267,0.0008412169],"domain_scores_gemma":[0.9965475,0.001100875,0.0006203466,0.0006217653,0.0007946967,0.0003148383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002472856,0.004200381,0.6580898,0.0001491413,0.000367653,0.0002111631,0.02463963,0.00002801125,0.3079114,0.00001762259,0.000004233254,0.001908144],"study_design_scores_gemma":[0.02148002,0.0282565,0.7911293,0.0007783991,0.0007518414,0.001928375,0.1498703,0.001345699,0.004076757,0.0000275101,0.000004485302,0.0003508173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916605,0.0001874703,0.0007947017,0.0003981027,0.0001708595,0.005995789,0.00001982768,0.0001008387,0.0006719472],"genre_scores_gemma":[0.9257551,0.00003362033,0.07342668,0.0001200102,0.0001509665,0.0003991273,0.000007260334,0.00006600159,0.00004126097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3038346,"threshold_uncertainty_score":0.9998198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550419362938603,"score_gpt":0.3585138548115916,"score_spread":0.3330096611822056,"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."}}