{"id":"W4399476438","doi":"10.1172/jci.insight.168825","title":"Glycolytic lactate in diabetic kidney disease","year":2024,"lang":"en","type":"article","venue":"JCI Insight","topic":"Chronic Kidney Disease and Diabetes","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"National Heart, Lung, and Blood Institute; National Institute on Aging; Banting and Best Diabetes Centre, University of Toronto; Canadian Institutes of Health Research; National Institutes of Health; National Medical Research Council; University of Toronto; Eli Lilly and Company; AstraZeneca; CSL Behring; York University; Insulet Corporation; Diabetes Canada; Sanofi; Kidney Foundation of Canada; Novo Nordisk; Small Business Innovation Research; National Institute of Diabetes and Digestive and Kidney Diseases; Boehringer Ingelheim; U.S. Department of Veterans Affairs","keywords":"Internal medicine; Endocrinology; Glycolysis; Medicine; Diabetes mellitus; Urine; Type 2 diabetes; Creatinine; Renal function; Kidney disease; Metabolism","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":[0.0003826941,0.0002910286,0.0003473356,0.0008324177,0.0001582205,0.0006374837,0.0002370148,0.0003230534,0.0007012198],"category_scores_gemma":[0.0004318642,0.00009774177,0.0001982496,0.0007781156,0.0002933418,0.0003942902,0.0005317815,0.0007763518,0.0001189505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005519718,"about_ca_system_score_gemma":0.0003500254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001524024,"about_ca_topic_score_gemma":0.001848649,"domain_scores_codex":[0.9998939,0.0000265091,0.00001414874,0.00001731702,0.00002951644,0.0000185717],"domain_scores_gemma":[0.9997672,0.00003154399,0.00008222542,0.000009955033,0.00004878753,0.00006026529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00594211,0.0007258548,0.3932869,0.003571327,0.000464828,0.003030808,0.000912523,0.001498801,0.09267422,0.008337978,0.01269602,0.4768586],"study_design_scores_gemma":[0.0002392268,0.001534108,0.8891929,0.001505523,0.0004404242,0.007293877,0.001021824,0.003187513,0.01855729,0.01595642,0.06098249,0.00008857615],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5070584,0.468765,0.004306369,0.00739137,0.001053879,0.00007069564,0.00094588,0.0001067763,0.01030172],"genre_scores_gemma":[0.8825025,0.1102757,0.003219928,0.0009905454,0.0007094011,0.00003107251,0.0004595363,0.000008978349,0.001802438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001524024,"threshold_uncertainty_score":0.004004836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130841204119849,"score_gpt":0.2667186310230841,"score_spread":0.2554102189818856,"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."}}