{"id":"W4229010407","doi":"10.1093/ndt/gfac114.002","title":"FC078: Impact of Removing Race from the CKD-EPI Equation: Analysis of 1.6 Million Swedish Adults","year":2022,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Medicine; Kidney disease; Creatinine; Internal medicine; Population; Renal function; Proportional hazards model; Nephrology; Estimating equations; Generalized estimating equation; Environmental health; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004879537,0.0007341043,0.001012277,0.001208749,0.0006242715,0.001379791,0.00124212,0.001232103,0.001689197],"category_scores_gemma":[0.009642846,0.0004993089,0.002874875,0.001341119,0.0003104027,0.0005519518,0.001246019,0.0009029331,0.0006040999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000847945,"about_ca_system_score_gemma":0.001459445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04501083,"about_ca_topic_score_gemma":0.0195749,"domain_scores_codex":[0.9973253,0.001264701,0.000282561,0.0004776551,0.0003938254,0.0002557995],"domain_scores_gemma":[0.9962661,0.001269444,0.000882383,0.0006348724,0.0007052113,0.0002420108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008802643,0.0001092791,0.9920969,0.00004814456,0.0007910559,0.0001058464,0.0001707782,0.0008379702,0.00007941278,0.00007585704,0.00140887,0.003395536],"study_design_scores_gemma":[0.0001848685,0.0004256405,0.9861878,0.00008727353,0.001294361,0.0003357001,0.0007736948,0.008079446,0.0002597252,0.0002640109,0.002069379,0.0000380975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958269,0.0003737703,0.0002953327,0.0001803634,0.00003764684,0.00001786182,0.002921117,0.00002337507,0.000323617],"genre_scores_gemma":[0.9902452,0.0001532339,0.0008549086,0.0001992306,0.00005995129,0.0000751089,0.007839283,0.00002582154,0.000547106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04501083,"threshold_uncertainty_score":0.08949769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271274502083632,"score_gpt":0.269352572410424,"score_spread":0.2566398273895877,"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."}}