{"id":"W2058435588","doi":"10.1016/j.amjcard.2009.02.059","title":"Impact of Optimal Medical Therapy With or Without Percutaneous Coronary Intervention on Long-Term Cardiovascular End Points in Patients With Stable Coronary Artery Disease (from the COURAGE Trial)","year":2009,"lang":"en","type":"article","venue":"The American Journal of Cardiology","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; University of British Columbia; McMaster University Medical Centre","funders":"","keywords":"Medicine; Percutaneous coronary intervention; Conventional PCI; Internal medicine; Myocardial infarction; Cardiology; Stroke (engine); Hazard ratio; Coronary artery disease; Cause of death; Revascularization; Clinical endpoint; Randomized controlled trial; Confidence interval; Disease","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":[0.001857079,0.001158975,0.003138438,0.0002591691,0.0003603577,0.001737703,0.0006493482,0.001836731,0.003256648],"category_scores_gemma":[0.003678822,0.0004571666,0.003011835,0.0004044751,0.0007112321,0.001457254,0.0008072527,0.003042064,0.0003385123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006673164,"about_ca_system_score_gemma":0.0008710805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002107803,"about_ca_topic_score_gemma":0.003626417,"domain_scores_codex":[0.9990451,0.0004679882,0.00006719576,0.0002051622,0.00006669591,0.0001479012],"domain_scores_gemma":[0.9985713,0.0006006272,0.0002917591,0.0001165057,0.0000483246,0.0003714648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9379265,0.002175089,0.02808262,0.0008041387,0.007642017,0.0001404783,0.00007635314,0.00173235,0.001603132,0.0005633524,0.002993286,0.01626066],"study_design_scores_gemma":[0.5722221,0.05871918,0.3277241,0.0004222281,0.02793407,0.0003075993,0.0002572362,0.005047887,0.0007354412,0.002885832,0.003550115,0.0001942426],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835948,0.0107454,0.0002753894,0.001601595,0.0005311971,0.00009589623,0.001317996,0.0000476958,0.001790061],"genre_scores_gemma":[0.9925984,0.002424461,0.0005316787,0.0008583797,0.0009437717,0.0001201851,0.001979314,0.00001551449,0.0005282545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003256648,"threshold_uncertainty_score":0.0108946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392502113221686,"score_gpt":0.2896956295553024,"score_spread":0.2757706084230855,"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."}}