{"id":"W4292641312","doi":"10.1186/s12933-022-01594-6","title":"A novel kidney disease index reflecting both the albumin-to-creatinine ratio and estimated glomerular filtration rate, predicted cardiovascular and kidney outcomes in type 2 diabetes","year":2022,"lang":"en","type":"article","venue":"Cardiovascular Diabetology","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Institut universitaire de cardiologie et de pneumologie de Québec; Population Health Research Institute; Université Laval; University of Toronto; Hamilton Health Sciences; McMaster University","funders":"Eli Lilly and Company","keywords":"Medicine; Albuminuria; Renal function; Hazard ratio; Internal medicine; Creatinine; Kidney disease; Type 2 diabetes; Diabetes mellitus; Post-hoc analysis; Incidence (geometry); Mace; Endocrinology; Confidence interval; Myocardial infarction","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":[0.002819621,0.0006939466,0.0006074095,0.001064598,0.0002250178,0.0009968636,0.0005387345,0.0006990153,0.001513629],"category_scores_gemma":[0.005001371,0.0001603835,0.001045009,0.0007108126,0.0001910546,0.0004779206,0.0004835379,0.0009944537,0.0002669417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005532101,"about_ca_system_score_gemma":0.0007561636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001219228,"about_ca_topic_score_gemma":0.002087191,"domain_scores_codex":[0.9991969,0.0002820204,0.00008229819,0.0001923269,0.00019092,0.00005544908],"domain_scores_gemma":[0.9970018,0.001224713,0.0009924183,0.0001521128,0.0003389348,0.0002899021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001267108,0.0002212506,0.9881529,0.0000485788,0.0005290585,0.00004646872,0.00001361473,0.0007604879,0.0009191353,0.00006910567,0.0003413851,0.007630753],"study_design_scores_gemma":[0.0002533981,0.0009274646,0.9725686,0.00003186981,0.000752326,0.0005885021,0.00005543843,0.02246237,0.0009094546,0.0005358427,0.0008815922,0.00003319121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99091,0.001827011,0.004017257,0.0002375501,0.0001022911,0.00004433322,0.001314912,0.0000530153,0.00149353],"genre_scores_gemma":[0.9948244,0.0001867574,0.003811199,0.00006030175,0.00008831196,0.00003234138,0.0006233019,0.000006183466,0.0003671792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002819621,"threshold_uncertainty_score":0.01491177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923728091985844,"score_gpt":0.2706206649452255,"score_spread":0.251383384025367,"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."}}