{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002014657,0.0006657461,0.0005565958,0.001441615,0.0002548168,0.0008213941,0.0004765622,0.0006766436,0.001868035],"category_scores_gemma":[0.005164109,0.0002529959,0.0005793954,0.0008675589,0.000367213,0.0005184127,0.0008231386,0.0006723455,0.0005100593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004203173,"about_ca_system_score_gemma":0.0005503831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001712928,"about_ca_topic_score_gemma":0.002932574,"domain_scores_codex":[0.9992205,0.0002163195,0.00005021742,0.0003241227,0.0001405696,0.00004825061],"domain_scores_gemma":[0.9983444,0.0006219856,0.0004617125,0.0002380996,0.0002211268,0.000112637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001261403,0.0002593425,0.7649807,0.0002890618,0.001141748,0.0001350453,0.0002762717,0.0184011,0.0585115,0.00305044,0.004204078,0.1474892],"study_design_scores_gemma":[0.0001316206,0.001333918,0.6970101,0.00005795618,0.0005974113,0.0009537315,0.0001457203,0.2149637,0.06566747,0.01193176,0.007047676,0.0001588118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6460591,0.0009042564,0.3325794,0.0003724426,0.0001623888,0.0003283044,0.01227746,0.002784128,0.00453247],"genre_scores_gemma":[0.9025958,0.0001927661,0.09075857,0.0002332361,0.00007575629,0.0002838487,0.003776145,0.00017348,0.001910451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002014657,"threshold_uncertainty_score":0.01065463,"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."}}