{"id":"W2805317933","doi":"10.1016/j.gie.2019.01.030","title":"Setting minimum standards for training in EUS and ERCP: results from a prospective multicenter study evaluating learning curves and competence among advanced endoscopy trainees","year":2019,"lang":"en","type":"article","venue":"Gastrointestinal Endoscopy","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":116,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Center for Advancing Translational Sciences; Ferring Pharmaceuticals; AbbVie; Merck; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; American Society for Gastrointestinal Endoscopy","keywords":"Medicine; Endoscopy; Competence (human resources); Learning curve; Grading (engineering); Radiology; Medical physics; General surgery; Computer science","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":[0.01128749,0.0003431506,0.0005153283,0.001212087,0.0008074536,0.001503548,0.001166014,0.001218212,0.001262839],"category_scores_gemma":[0.03429782,0.0003389568,0.0004930813,0.001424841,0.0007054284,0.001955386,0.00182655,0.0008700204,0.0003059807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177313,"about_ca_system_score_gemma":0.002654071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004906276,"about_ca_topic_score_gemma":0.00435146,"domain_scores_codex":[0.9934326,0.00288473,0.0007109284,0.0007112601,0.001285024,0.0009754062],"domain_scores_gemma":[0.968717,0.008833484,0.009896817,0.001562853,0.005177116,0.005812667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007019102,0.000764649,0.9932613,0.00002149935,0.00004270032,0.00002546287,0.000518258,0.0001421029,0.0001943769,0.0000395524,0.0002179211,0.004070342],"study_design_scores_gemma":[0.00005678672,0.0008861087,0.9974864,0.00001577938,0.00001445008,0.00003111846,0.0008277917,0.0002583305,0.0001224291,0.00003014715,0.0002626693,0.000007958628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989873,0.0000868286,0.0001588457,0.00009158499,0.000006837034,0.00005931488,0.0001432074,0.000004520684,0.0004617541],"genre_scores_gemma":[0.9992208,0.00003463029,0.0002671889,0.0000586035,0.00000630967,0.00005732867,0.0002324554,0.000004523078,0.0001180926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01128749,"threshold_uncertainty_score":0.05969471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684262542910809,"score_gpt":0.3406070767924401,"score_spread":0.313764451363332,"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."}}