{"id":"W2789187739","doi":"10.1016/j.jacc.2017.12.024","title":"Coronary Artery Bypass Surgery Improves Outcomes in Patients With Diabetes and Left Ventricular Dysfunction","year":2018,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","field":"Medicine","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Biodiversity Monitoring Institute; Libin Cardiovascular Institute of Alberta; Canadian VIGOUR Centre; University of Calgary; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Cardiology; Internal medicine; Conventional PCI; Percutaneous coronary intervention; Ejection fraction; Myocardial infarction; Coronary artery disease; Stroke (engine); Revascularization; Cohort; Diabetes mellitus; Coronary artery bypass surgery; Artery; Heart failure","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004461907,0.0002870716,0.0005459259,0.0002876508,0.0003288372,0.0008907363,0.0002166539,0.0005759444,0.001840676],"category_scores_gemma":[0.003057564,0.000168592,0.000696747,0.0004408905,0.0001992428,0.0004588996,0.0003920723,0.001083335,0.0001168923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003322857,"about_ca_system_score_gemma":0.0006869585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001969782,"about_ca_topic_score_gemma":0.006488266,"domain_scores_codex":[0.9996382,0.0001081292,0.00005164613,0.00004436882,0.00006523966,0.0000925382],"domain_scores_gemma":[0.9986749,0.0003803725,0.0004623095,0.00004748754,0.00009375491,0.000341082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002181844,0.0007525692,0.9686978,0.0001220885,0.00083821,0.0002515065,0.00008554891,0.000210136,0.0005267328,0.0001407762,0.001215549,0.02497723],"study_design_scores_gemma":[0.0001270672,0.0005230189,0.9976724,0.00005049582,0.000370157,0.0001846847,0.0001822641,0.0002804476,0.00007539103,0.0001880208,0.0003372775,0.00000865431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905939,0.005063515,0.00007485512,0.001184027,0.000185179,0.00001189953,0.0001828271,0.00000660109,0.002697204],"genre_scores_gemma":[0.9969625,0.001850628,0.0001148367,0.0003750964,0.0002487926,0.000006477728,0.0002672823,0.000001783476,0.000172644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001969782,"threshold_uncertainty_score":0.006157696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005480527893270579,"score_gpt":0.2201872536061754,"score_spread":0.2147067257129049,"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."}}