{"id":"W2052752929","doi":"10.1016/j.jcjd.2014.10.013","title":"Uric Acid as a Biomarker and a Therapeutic Target in Diabetes","year":2015,"lang":"en","type":"review","venue":"Canadian Journal of Diabetes","topic":"Gout, Hyperuricemia, Uric Acid","field":"Medicine","cited_by":137,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto General Hospital","funders":"","keywords":"Medicine; Diabetes mellitus; Diabetic nephropathy; Uric acid; Xanthine oxidase; Hyperuricemia; Biomarker; Nephropathy; Internal medicine; Oxidative stress; Renal function; Bioinformatics; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001227173,0.0005930512,0.002910843,0.001856858,0.00006208117,0.00008833396,0.0003843482,0.0005408102,0.0002915327],"category_scores_gemma":[0.00070731,0.0004507431,0.000456765,0.0009124069,0.0002383524,0.0001318267,0.00003554023,0.0010878,0.00006717716],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007400222,"about_ca_system_score_gemma":0.007169494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001647998,"about_ca_topic_score_gemma":0.0003890799,"domain_scores_codex":[0.9968969,0.000285984,0.001116196,0.0003569099,0.0004075549,0.0009364563],"domain_scores_gemma":[0.9964344,0.00022194,0.0006929979,0.000419676,0.0002556238,0.001975376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003822516,0.00006087581,0.04298542,0.00770114,0.001631656,0.0005288838,0.0003649226,2.017151e-7,0.00002127959,0.00001463945,0.004505374,0.9421818],"study_design_scores_gemma":[0.0009777559,0.0004359491,0.002600667,0.01266124,0.002359117,0.0002452862,0.00006684388,0.00001093756,0.000007566146,0.0003755334,0.9797919,0.000467235],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01943081,0.9782642,3.301706e-7,0.0003663297,0.0004098522,0.0005602147,0.00005445068,0.000009815253,0.0009040138],"genre_scores_gemma":[0.02711225,0.9703284,0.0003199613,0.001035145,0.000558653,0.00004527583,0.00004879173,0.0002018982,0.0003496131],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9752865,"threshold_uncertainty_score":0.9997944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04310308817075794,"score_gpt":0.3006061390805351,"score_spread":0.2575030509097772,"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."}}