{"id":"W4407063294","doi":"10.1038/s41467-024-54721-0","title":"Bidirectional relationship between epigenetic age and stroke, dementia, and late-life depression","year":2025,"lang":"en","type":"article","venue":"Nature Communications","topic":"Birth, Development, and Health","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Aging; National Center for Advancing Translational Sciences; Tourette Association of America; Warszawski Uniwersytet Medyczny; Deutsche Forschungsgemeinschaft; Ministerstwo Zdrowia; Biogen; American Brain Foundation; National Institutes of Health; U.S. Department of Health and Human Services; Yale University; Uniwersytet Warszawski; American Heart Association","keywords":"Dementia; Epigenetics; Depression (economics); Late life depression; Stroke (engine); Medicine; Bioinformatics; Gerontology; Neuroscience; Psychiatry; Biology; Internal medicine; Genetics; Cognition; Gene; Disease","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":[0.00115388,0.0001101365,0.0001451736,0.0003962489,0.0001222962,0.0002249406,0.0001421181,0.000184217,0.001828006],"category_scores_gemma":[0.004127581,0.000121313,0.0003454445,0.0003371933,0.0001333292,0.0002000306,0.0003296976,0.0003249039,0.00008235961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001241736,"about_ca_system_score_gemma":0.0002691212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003773298,"about_ca_topic_score_gemma":0.006687175,"domain_scores_codex":[0.9996614,0.0001556819,0.00002641301,0.0000707642,0.00004111496,0.00004456106],"domain_scores_gemma":[0.9983869,0.000600107,0.0006185232,0.0001572889,0.0001107101,0.0001265721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002159787,0.00002063156,0.9918641,0.00002049565,0.000157243,0.00004942805,0.000110888,0.0000710216,0.0006346833,0.0001516788,0.00008252127,0.006621399],"study_design_scores_gemma":[0.000003438919,0.00005881861,0.9991673,0.000006017668,0.00005704425,0.00007767256,0.00004953572,0.0001616973,0.0001410115,0.0001242784,0.0001515212,0.000001581783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975426,0.0008336254,0.0004925376,0.0001584213,0.000009553196,0.000004541186,0.0002640183,0.000005746595,0.0006890247],"genre_scores_gemma":[0.9991659,0.0002129674,0.0002615123,0.00002703644,0.0000059094,0.000003672864,0.00007745971,9.394415e-7,0.0002445533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003773298,"threshold_uncertainty_score":0.007502675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04970910083326469,"score_gpt":0.3591674471432985,"score_spread":0.3094583463100338,"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."}}