{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002078239,0.0004674008,0.001471828,0.0004504066,0.0004544716,0.00006660731,0.0002073707,0.0001551385,0.00009563828],"category_scores_gemma":[0.004885604,0.0003943668,0.0006350434,0.001143382,0.0002791493,0.0001494543,0.000394844,0.0005467038,0.00000396128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002234804,"about_ca_system_score_gemma":0.0008726573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001741035,"about_ca_topic_score_gemma":0.000006481213,"domain_scores_codex":[0.9963052,0.0006171397,0.0005911646,0.0009834487,0.0006896671,0.0008133613],"domain_scores_gemma":[0.9969357,0.0003464094,0.000106037,0.001189757,0.0001718256,0.001250227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004297355,0.0003374553,0.9734389,0.0005558155,0.008560733,0.000242279,0.0006431149,0.003237314,0.005270181,0.00009007024,0.001888055,0.005306402],"study_design_scores_gemma":[0.01013607,0.0004294719,0.9425291,0.0002334455,0.004682496,0.00009620008,0.0004092246,0.01411458,0.0008956225,0.00008442788,0.02563719,0.0007521934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673356,0.02715323,0.0007218294,0.001946224,0.0004295069,0.001830435,0.000264164,0.0001622123,0.0001567775],"genre_scores_gemma":[0.9932038,0.0003267125,0.0003469823,0.004527561,0.0001557214,0.0005001347,0.0007877448,0.00008390885,0.00006744386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03090976,"threshold_uncertainty_score":0.9998508,"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."}}