{"id":"W2975027492","doi":"10.5935/abc.20190212","title":"Cardiology Training in Brazil and Developed Countries: Some Ideas for Improvement","year":2019,"lang":"en","type":"article","venue":"Arquivos Brasileiros de Cardiologia","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heart and Stroke Foundation; University of Toronto","funders":"Center for Neuroscience and Regenerative Medicine","keywords":"Medicine; Training (meteorology); Globe; Developing country; Duration (music); Health care; Distribution (mathematics); Cardiology; Internal medicine; Medical education; Economic growth","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01969295,0.0009268656,0.0009073283,0.004387624,0.002660069,0.005656614,0.002573853,0.003412575,0.004966398],"category_scores_gemma":[0.03109622,0.0004350685,0.001418433,0.005443342,0.003945094,0.009092626,0.004200756,0.00349555,0.0005585278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01035945,"about_ca_system_score_gemma":0.03606643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07654023,"about_ca_topic_score_gemma":0.08854506,"domain_scores_codex":[0.9906015,0.004868818,0.0008467598,0.0007208758,0.001456524,0.001505497],"domain_scores_gemma":[0.9805436,0.00682083,0.002224823,0.001105956,0.00600751,0.003297372],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002743245,0.0006091372,0.07596219,0.01000489,0.0002422454,0.001202849,0.0153571,0.00146683,0.001296368,0.1979417,0.05754825,0.6380941],"study_design_scores_gemma":[0.0002027417,0.0008678311,0.2128163,0.03053283,0.0004220409,0.001536649,0.05964263,0.002448445,0.0009907468,0.08015493,0.6101714,0.0002135269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01781692,0.2345518,0.006196972,0.7057027,0.003670678,0.0002917602,0.0006067204,0.0001823044,0.03098018],"genre_scores_gemma":[0.6883503,0.2092558,0.04673717,0.04449964,0.003295812,0.001077939,0.0009168108,0.0001031705,0.00576326],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.980307,"threshold_uncertainty_score":0.1521894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02252281115430509,"score_gpt":0.2974503850171468,"score_spread":0.2749275738628417,"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."}}