{"id":"W3038142658","doi":"10.1111/1753-0407.13083","title":"Alternative kidney filtration markers and the risk of major macrovascular and microvascular events, and <scp>all‐cause</scp> mortality in individuals with type 2 diabetes in the <scp>ADVANCE</scp> trial","year":2020,"lang":"en","type":"article","venue":"Journal of Diabetes","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"National Heart, Lung, and Blood Institute; National Health and Medical Research Council; MSD Australia; Roche Diagnostics; National Institutes of Health; Julius Clinical; Menarini Group; Monash University; British Heart Foundation; National Institute for Health and Care Research; Novo Nordisk; Daiichi Sankyo Europe; Sanofi; Eli Lilly and Company; AstraZeneca; Diabetes UK; Servier; National Institute of Diabetes and Digestive and Kidney Diseases; Amgen","keywords":"Medicine; Renal function; Diabetes mellitus; Internal medicine; Cystatin C; Type 2 diabetes; Kidney disease; Creatinine; Proportional hazards model; Macrovascular disease; Confounding; Endocrinology","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":[],"consensus_categories":[],"category_scores_codex":[0.002193254,0.0002759586,0.0008510756,0.0001499304,0.00006621155,0.00006628276,0.0001950715,0.0001004622,0.000006651608],"category_scores_gemma":[0.004607368,0.0001544587,0.0001750224,0.0003907944,0.0003737494,0.0003126095,0.00007539932,0.0004996631,6.194045e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003520465,"about_ca_system_score_gemma":0.0002305037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003270691,"about_ca_topic_score_gemma":0.00001412681,"domain_scores_codex":[0.9974099,0.0006307121,0.0007117525,0.0002943681,0.0005949033,0.0003583653],"domain_scores_gemma":[0.9970359,0.001597698,0.0006525042,0.0002442322,0.0001424253,0.0003272146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000243982,0.000193827,0.9923111,0.0003355663,0.002250797,0.00001271777,0.002059484,0.00002363144,0.001461872,0.00003602959,0.0007223851,0.0003485618],"study_design_scores_gemma":[0.08340649,0.002185877,0.8934519,0.0008736557,0.003684703,0.00001094049,0.002975272,0.0008069015,0.009092348,0.002063191,0.001350953,0.00009774858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823475,0.01581019,0.000005535279,0.0007195066,0.0000724624,0.0009277966,0.0000563573,0.00000527058,0.00005534799],"genre_scores_gemma":[0.9943658,0.003706067,0.0002700143,0.0013698,0.0002093579,0.00002402027,0.00002360835,0.00002476958,0.000006572317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09885923,"threshold_uncertainty_score":0.6298643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120250250960832,"score_gpt":0.2527793367515292,"score_spread":0.240754311655446,"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."}}