{"id":"W2415378581","doi":"10.1503/cjs.008514","title":"Endoscopy training in Canadian general surgery residency programs","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Surgery","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton General Hospital; McMaster University; University of Manitoba; Vancouver General Hospital; Toronto General Hospital; Dalhousie University; University of Toronto; University of British Columbia; University of Ottawa","funders":"","keywords":"Medicine; Credentialing; Endoscopy; Residency training; Standardization; Medical education; General surgery; Surgery; Continuing education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001595388,0.0002063652,0.0001870028,0.001772284,0.002735314,0.001077906,0.001122004,0.0006146239,0.01278415],"category_scores_gemma":[0.008794114,0.0002436088,0.0003487544,0.002691631,0.0006181617,0.0005013943,0.001214677,0.0009086342,0.0006981186],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03073531,"about_ca_system_score_gemma":0.06744015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.942242,"about_ca_topic_score_gemma":0.9783051,"domain_scores_codex":[0.9974346,0.0002394054,0.00009126178,0.0001700051,0.0009911463,0.001073541],"domain_scores_gemma":[0.9875389,0.0003642287,0.0007830771,0.00009538567,0.003647274,0.007570997],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003432069,0.0003996313,0.6665848,0.0007138419,0.00007398974,0.0007488051,0.005359071,0.0008917478,0.0007109782,0.004935991,0.1311257,0.1881123],"study_design_scores_gemma":[0.0000257769,0.00009932145,0.9435782,0.0003477878,0.00001804946,0.0002666808,0.002790176,0.0003498736,0.0001440972,0.0001733522,0.05217816,0.00002858909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8165119,0.007122591,0.0008241259,0.03223646,0.00124404,0.000362874,0.008419422,0.0001643102,0.1331142],"genre_scores_gemma":[0.9719391,0.003988561,0.001084686,0.003832608,0.0001963399,0.00007540661,0.002944222,0.00003439651,0.01590461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9984046,"threshold_uncertainty_score":0.2230013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1343554700461061,"score_gpt":0.2905499406290109,"score_spread":0.1561944705829048,"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."}}