{"id":"W3004835181","doi":"10.1111/dom.13991","title":"Association between uric acid levels and cardio‐renal outcomes and death in patients with type 2 diabetes: A subanalysis of EMPA‐REG OUTCOME","year":2020,"lang":"en","type":"article","venue":"Diabetes Obesity and Metabolism","topic":"Gout, Hyperuricemia, Uric Acid","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University of Toronto; Lunenfeld-Tanenbaum Research Institute; St. Michael's Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Eli Lilly and Company","keywords":"Empagliflozin; Medicine; Hazard ratio; Mace; Internal medicine; Uric acid; Type 2 diabetes; Placebo; Diabetic nephropathy; Confidence interval; Diabetes mellitus; Cardiology; Endocrinology; Myocardial infarction; Kidney; Percutaneous coronary intervention","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":[0.0004011781,0.0002745192,0.00133078,0.0001977685,0.00006602907,0.00002826047,0.00007783928,0.0001798859,0.00001248282],"category_scores_gemma":[0.0005596083,0.0002124856,0.00009053837,0.0005085258,0.00006045442,0.0002045536,0.0001097646,0.0002745237,0.000002628036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004279577,"about_ca_system_score_gemma":0.00003554027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004274489,"about_ca_topic_score_gemma":0.000005898076,"domain_scores_codex":[0.9982018,0.0001198052,0.0004314768,0.000407339,0.0004617558,0.0003777954],"domain_scores_gemma":[0.998952,0.0001665129,0.0002406674,0.0001957934,0.0001604116,0.0002846309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002311692,0.00007481597,0.9967317,0.0001684651,0.001037545,0.000001717612,0.0005718054,0.000001391085,0.0003068932,0.000008762057,0.00001115754,0.001062605],"study_design_scores_gemma":[0.003054005,0.0001728068,0.9919499,0.00003916291,0.002815801,1.215723e-7,0.00003249631,0.00003434626,0.001475783,0.00003030927,0.0001798502,0.0002154692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969426,0.002072893,0.000008960361,0.0004226184,0.00003234019,0.0003464124,0.000110135,0.0000286075,0.00003547645],"genre_scores_gemma":[0.9988162,0.00007064135,0.0003664269,0.0005315674,0.00007011314,0.000008016796,0.00005737228,0.00002304793,0.00005661685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004781877,"threshold_uncertainty_score":0.8664913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786068480185892,"score_gpt":0.2337587289290247,"score_spread":0.2158980441271657,"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."}}