{"id":"W2913831775","doi":"10.1016/j.jacc.2018.11.044","title":"Impact of Chronic Kidney Disease on Outcomes of Myocardial Revascularization in Patients With Diabetes","year":2019,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Heart and Stroke Foundation; University of Toronto","funders":"","keywords":"Medicine; Internal medicine; Percutaneous coronary intervention; Kidney disease; Hazard ratio; Cardiology; Revascularization; Myocardial infarction; Conventional PCI; Diabetes mellitus; Coronary artery disease; Clinical endpoint; Stroke (engine); Renal function; Randomized controlled trial; Surgery; Confidence interval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002625864,0.000114116,0.001237079,0.0002080924,0.000008624562,9.827393e-7,0.0001156823,0.00002383356,0.000004077046],"category_scores_gemma":[0.00107001,0.00006391748,0.0007368496,0.0003180116,0.000255641,0.00003249767,0.00003466281,0.0001562352,5.732098e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001544769,"about_ca_system_score_gemma":0.0006522633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001119864,"about_ca_topic_score_gemma":2.170049e-7,"domain_scores_codex":[0.9987562,0.0002150802,0.0004334896,0.00009103013,0.0003595106,0.0001446581],"domain_scores_gemma":[0.9980869,0.0002803542,0.0008220001,0.0003526401,0.000351181,0.0001069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001323905,0.0001213479,0.9901128,0.00005392744,0.000938831,0.000009412714,0.00001013817,0.006205918,0.0002753218,0.00001156259,0.0007927161,0.0001441089],"study_design_scores_gemma":[0.003790795,0.003308252,0.9918472,0.0002677399,0.0004826022,0.000006613813,0.00001810353,0.0000290636,0.0001224458,0.00001599855,0.00005395145,0.0000572045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986625,0.000123422,0.00001945473,0.0003139342,0.000254546,0.0002734406,0.0001773604,0.000001653703,0.0001737398],"genre_scores_gemma":[0.9996873,0.00002873068,0.00004881012,0.0001159217,0.00008757565,0.00000127027,0.000005212534,0.00001332629,0.00001185006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006176854,"threshold_uncertainty_score":0.2606479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003763777332567814,"score_gpt":0.2435875819073593,"score_spread":0.2398238045747915,"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."}}