{"id":"W2124701820","doi":"10.1161/circoutcomes.113.000139","title":"Frequency, Predictors, and Consequences of Crossing Over to Revascularization Within 12 Months of Randomization to Optimal Medical Therapy in the Clinical Outcomes Utilizing Revascularization and Aggressive Drug Evaluation (COURAGE) Trial","year":2013,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research","keywords":"Medicine; Revascularization; Hazard ratio; Angina; Percutaneous coronary intervention; Randomized controlled trial; Internal medicine; Unstable angina; Myocardial infarction; Cardiology; Coronary artery disease; Odds ratio; Proportional hazards model; Surgery; Confidence interval","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004230579,0.0002960009,0.0008597899,0.0001415135,0.0003038757,0.0009478024,0.0003591837,0.000868491,0.000855453],"category_scores_gemma":[0.006748287,0.0002092924,0.0009374321,0.0002666494,0.0004796592,0.0004124656,0.0004167419,0.00138798,0.0000698723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002502545,"about_ca_system_score_gemma":0.0004479892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001001552,"about_ca_topic_score_gemma":0.001333795,"domain_scores_codex":[0.9976791,0.001644315,0.0001041774,0.0002143786,0.0001615148,0.000196545],"domain_scores_gemma":[0.9953554,0.002018242,0.001499771,0.0003080664,0.00009406549,0.0007244206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.3084001,0.004140604,0.6538873,0.0002540094,0.003156756,0.0002322482,0.0001837713,0.001112049,0.001341036,0.0004581168,0.001600891,0.02523302],"study_design_scores_gemma":[0.04720834,0.03613216,0.9025437,0.0001813449,0.004039068,0.0004147937,0.0001980982,0.006353701,0.0006890805,0.0009751891,0.001202769,0.00006169133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987438,0.0006380683,0.00007996382,0.0001452158,0.00002567005,0.0000311398,0.00007178549,0.000003095331,0.0002612653],"genre_scores_gemma":[0.9991094,0.0001813401,0.000139692,0.0001325585,0.00007964362,0.00004026854,0.0002007181,0.00000185109,0.0001145047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004230579,"threshold_uncertainty_score":0.02237368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09119262044506743,"score_gpt":0.3991639441701889,"score_spread":0.3079713237251214,"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."}}