{"id":"W4384827929","doi":"10.1101/2023.07.13.548904","title":"Systems Age: A single blood methylation test to quantify aging heterogeneity across 11 physiological systems","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute on Aging; Yale University","keywords":"Epigenetics; DNA methylation; Biology; Systems biology; Successful aging; Bioinformatics; Computational biology; Medicine; Gerontology; Genetics; Gene expression; Gene","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":[0.001250257,0.0006931516,0.0007336375,0.0001633984,0.0002776293,0.000577702,0.0006364788,0.001056649,0.000001529846],"category_scores_gemma":[0.0008886493,0.0007271627,0.0002541086,0.0004500893,0.00009719433,0.00001127387,0.001047049,0.0004338669,0.00005788058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001160043,"about_ca_system_score_gemma":0.0001742316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002790593,"about_ca_topic_score_gemma":0.00003103034,"domain_scores_codex":[0.9958126,0.0003625838,0.0008479836,0.001687974,0.0004602687,0.0008286156],"domain_scores_gemma":[0.9967805,0.00008848293,0.0005498524,0.001607002,0.000603229,0.0003709579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001283423,0.0001968028,0.01745426,0.0004090961,0.0001574096,0.00003662638,0.00001088865,0.008173416,0.9734501,0.00003054894,0.00006699669,9.801153e-7],"study_design_scores_gemma":[0.000412783,0.000310643,0.09317677,0.0003601583,0.0001258102,3.310291e-8,0.00001261295,0.0007794807,0.9006289,0.000001064271,0.003197999,0.0009937646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833789,0.004216743,0.007938617,0.00005385333,0.002316901,0.001203126,0.0006078733,0.0002814128,0.000002575459],"genre_scores_gemma":[0.9964094,0.0003643321,0.001096411,0.0000459039,0.001441425,0.0004074227,0.00001657249,0.0001956817,0.00002290839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07572251,"threshold_uncertainty_score":0.9995179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04912957109682388,"score_gpt":0.2903943459190586,"score_spread":0.2412647748222347,"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."}}