{"id":"W4362674168","doi":"10.1038/s41591-023-02296-6","title":"Heterogeneous aging across multiple organ systems and prediction of chronic disease and mortality","year":2023,"lang":"en","type":"article","venue":"Nature Medicine","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":580,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Health and Medical Research Council; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; University of Oxford; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Northern California Institute for Research and Education; Universitetet i Oslo; F. Hoffmann-La Roche; University of Southern California; Pfizer; Biogen; BioClinica; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Medical Research Council; Meso Scale Diagnostics; Alzheimer's Association; National Institute on Aging; Commonwealth Scientific and Industrial Research Organisation; Foundation for the National Institutes of Health","keywords":"Biological age; Biobank; Disease; Organ system; Medicine; Organ donation; Telomere; Gerontology; Bioinformatics; Physiology; Biology; Pathology; Internal medicine; Genetics; Transplantation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002288184,0.0007181715,0.0007407265,0.001403641,0.0005763911,0.001403221,0.0005496945,0.0008585598,0.001374577],"category_scores_gemma":[0.004534325,0.0003659148,0.001103896,0.001233152,0.0005041048,0.001025767,0.001321243,0.00100854,0.0001895165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000400702,"about_ca_system_score_gemma":0.0004898863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008565836,"about_ca_topic_score_gemma":0.01222745,"domain_scores_codex":[0.9991348,0.0002895899,0.00008264102,0.0002746742,0.00008456965,0.0001336653],"domain_scores_gemma":[0.9972939,0.0005452215,0.001074967,0.0004505698,0.0002479755,0.0003873656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001637038,0.00003390471,0.9945716,0.00001399609,0.0003426458,0.00004168446,0.0000446528,0.0004943418,0.0002088782,0.0001241204,0.0002267098,0.003733689],"study_design_scores_gemma":[0.000005901213,0.00007034565,0.9964713,0.00001358619,0.0001602492,0.0001094611,0.00009186937,0.001734412,0.00008163639,0.001049643,0.0002034632,0.000008177864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928489,0.002653801,0.001745753,0.0003923179,0.0000636192,0.00001299458,0.001144581,0.00002384694,0.001114065],"genre_scores_gemma":[0.9986119,0.0003381907,0.0003974202,0.00006001624,0.00004927755,0.000005219667,0.0003567745,0.000005156524,0.0001761059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008565836,"threshold_uncertainty_score":0.01703197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596178334241084,"score_gpt":0.2999391683358562,"score_spread":0.2839773849934454,"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."}}