{"id":"W4408612493","doi":"10.1042/bsr20241663","title":"Development and validation of an epigenetic signature of allostatic load","year":2025,"lang":"en","type":"article","venue":"Bioscience Reports","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of British Columbia; Douglas Mental Health University Institute","funders":"Economic and Social Research Council; Biotechnology and Biological Sciences Research Council; Innosuisse - Schweizerische Agentur für Innovationsförderung; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Age UK; Medical Research Council; Centre for Cognitive Ageing and Cognitive Epidemiology; Royal Society; Wellcome Trust; UK Research and Innovation; National Science Foundation","keywords":"Allostatic load; dNaM; Cohort; Epigenetics; DNA methylation; Confounding; Medicine; Oncology; Population; Cohort study; Bioinformatics; Internal medicine; Genetics; Biology; Physiology; Gene; Environmental health","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":[0.0009858345,0.0002973727,0.0002759994,0.0007148699,0.0002315212,0.0005622614,0.0004114345,0.0003741304,0.0008475964],"category_scores_gemma":[0.002355917,0.0001978255,0.0002867698,0.0006284842,0.0002943217,0.0001814795,0.0005997799,0.0004169833,0.0002227124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002715637,"about_ca_system_score_gemma":0.0005132674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003840402,"about_ca_topic_score_gemma":0.005995546,"domain_scores_codex":[0.9994444,0.0001616302,0.00002242542,0.0002032316,0.0001297417,0.00003861389],"domain_scores_gemma":[0.9991953,0.0001567727,0.0002400621,0.0001622401,0.0001656713,0.0000800031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000710671,0.000121274,0.8566442,0.000127391,0.0004069796,0.0001686485,0.0003344269,0.002993171,0.1011127,0.0006599835,0.0006695596,0.03605091],"study_design_scores_gemma":[0.00005436852,0.0005060819,0.9685789,0.00002498481,0.0001929339,0.0004827011,0.0001097879,0.01041331,0.0164799,0.0007227454,0.002400773,0.00003352302],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873834,0.0003683336,0.009290241,0.0000841306,0.00001319292,0.00005486001,0.001873652,0.00005820502,0.0008739084],"genre_scores_gemma":[0.9918283,0.0001144656,0.005776131,0.00009738854,0.00001714694,0.0000659141,0.001491848,0.00001608735,0.0005926728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003840402,"threshold_uncertainty_score":0.00763607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009551035435881901,"score_gpt":0.2742048314527805,"score_spread":0.2646537960168986,"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."}}