{"id":"W2081231656","doi":"10.1001/jama.2012.3954","title":"Comparison of Risk Prediction Using the CKD-EPI Equation and the MDRD Study Equation for Estimated Glomerular Filtration Rate","year":2012,"lang":"en","type":"review","venue":"JAMA","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":991,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"National Institute of Neurological Disorders and Stroke; National Eye Institute; National Institute on Aging; Relypsa; Peking University; University of Alberta; Provincial Health Services Authority; West Virginia University; Monash University; National Heart, Lung, and Blood Institute; Peking University First Hospital; National Institutes of Health; Nierstichting; National Cancer Institute; BC Renal Agency; Case Western Reserve University; National Institute of Diabetes and Digestive and Kidney Diseases; Johns Hopkins University; Amgen","keywords":"Medicine; Renal function; Interquartile range; Kidney disease; Population; Epidemiology; Estimating equations; Cohort; Internal medicine; Demography; Disease; Urology; Statistics; Environmental health","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":[0.04306464,0.001414046,0.003923021,0.002224341,0.0002635309,0.002056957,0.001776883,0.001681934,0.0009230768],"category_scores_gemma":[0.05316273,0.0007972866,0.01516194,0.002578349,0.0005311741,0.001501026,0.00102967,0.00207044,0.0001855641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008948096,"about_ca_system_score_gemma":0.0008833543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004815757,"about_ca_topic_score_gemma":0.00414846,"domain_scores_codex":[0.9705751,0.02116852,0.002030923,0.003012251,0.00288236,0.0003308889],"domain_scores_gemma":[0.9522215,0.03769635,0.005243614,0.002362001,0.002204073,0.0002724082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"observational","study_design_scores_codex":[0.03704006,0.0002044438,0.4067857,0.00927602,0.4890679,0.0001456731,0.0002326577,0.00696228,0.0003524309,0.0009438547,0.002031679,0.04695728],"study_design_scores_gemma":[0.01429492,0.00528411,0.3499749,0.003382425,0.595314,0.0004380006,0.0002771826,0.0206291,0.001103559,0.002602027,0.006514065,0.000185796],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6192759,0.3543553,0.01517204,0.002312644,0.001108907,0.0005012547,0.004605707,0.0001347115,0.002533515],"genre_scores_gemma":[0.9665143,0.02494672,0.004426199,0.000789282,0.0004474524,0.0003169531,0.002163766,0.00004953892,0.0003456816],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04306464,"threshold_uncertainty_score":0.2277503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1942387040911386,"score_gpt":0.4208522863354918,"score_spread":0.2266135822443531,"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."}}