{"id":"W2329731676","doi":"10.1097/mcg.0b013e318297bf85","title":"The WGO Train the Trainer Workshop","year":2013,"lang":"en","type":"article","venue":"Journal of Clinical Gastroenterology","topic":"Innovations in Medical Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Trainer; Portuguese; Medical education; Medicine; Perspective (graphical); Process (computing); Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006151039,0.0005771827,0.000343239,0.0004472811,0.003177141,0.003256233,0.001512846,0.002380091,0.04575],"category_scores_gemma":[0.005804078,0.0003193448,0.0006620532,0.0003449573,0.001360172,0.001595263,0.006502316,0.004122116,0.01586309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00230889,"about_ca_system_score_gemma":0.005595964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002327126,"about_ca_topic_score_gemma":0.00713485,"domain_scores_codex":[0.9976957,0.0008399696,0.00004913235,0.0002402843,0.000384411,0.0007905246],"domain_scores_gemma":[0.9946542,0.0004217722,0.0001746362,0.0002067852,0.0003947496,0.004147851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004265881,0.0008258538,0.002116982,0.000337064,0.00001292933,0.001542606,0.01373853,0.000442782,0.00347773,0.006685535,0.876111,0.09428236],"study_design_scores_gemma":[0.00004078739,0.0001972962,0.004710292,0.0002067796,0.000003032668,0.0002047051,0.006109165,0.0001270948,0.0005855589,0.001035412,0.9867469,0.00003294177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1564757,0.002883316,0.01954435,0.1435359,0.06605367,0.005474313,0.003805869,0.00233646,0.5998904],"genre_scores_gemma":[0.2833471,0.00209748,0.01818958,0.02455411,0.007398027,0.00450015,0.003084118,0.001211027,0.6556184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04575,"threshold_uncertainty_score":0.153049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04927321705324793,"score_gpt":0.419272054312157,"score_spread":0.3699988372589091,"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."}}