{"id":"W2979600173","doi":"10.1016/j.cjca.2019.07.554","title":"URIC ACID LEVELS PREDICT CARDIORENAL OUTCOMES AND CARDIOVASCULAR DEATH IN PATIENTS WITH TYPE 2 DIABETES: A SUB-ANALYSIS OF EMPA-REG OUTCOME","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Gout, Hyperuricemia, Uric Acid","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Internal medicine; Empagliflozin; Uric acid; Type 2 diabetes; Placebo; Heart failure; Population; Diabetes mellitus; Proportional hazards model; Gastroenterology; Endocrinology; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009915932,0.0008419397,0.001375842,0.00124703,0.0007847191,0.00160508,0.0006920192,0.0009262154,0.001644506],"category_scores_gemma":[0.001564514,0.0006438071,0.002628271,0.001595894,0.0004657766,0.0009317159,0.001356148,0.00130234,0.0003699897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005604805,"about_ca_system_score_gemma":0.0006035212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008315805,"about_ca_topic_score_gemma":0.01206814,"domain_scores_codex":[0.99929,0.0001505208,0.00008255852,0.0001662894,0.0001067835,0.000203838],"domain_scores_gemma":[0.9985833,0.0002522473,0.0004150404,0.0002044431,0.0001397514,0.0004051274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005601388,0.00006905587,0.9977902,0.0000106302,0.0005570695,0.00005021406,0.00003407135,0.0000455848,0.0001203229,0.00001352401,0.00007945605,0.0006697676],"study_design_scores_gemma":[0.00003718387,0.0001347915,0.9987277,0.00000629146,0.0003421472,0.0001578714,0.000151924,0.000267716,0.0000302128,0.00003608393,0.0001003076,0.000007659009],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986726,0.0003662506,0.00006531527,0.00003560272,0.00001342048,0.000009265248,0.0004361211,0.000003485988,0.0003979155],"genre_scores_gemma":[0.9985878,0.0001708976,0.00006199094,0.00003949654,0.00004887733,0.00001210675,0.0008622044,0.00000340332,0.0002131127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008315805,"threshold_uncertainty_score":0.01653481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440554469990096,"score_gpt":0.2228549759529974,"score_spread":0.2084494312530965,"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."}}