{"id":"W4412942013","doi":"10.1042/ebc20253013","title":"Using epigenetic clocks in environmental epigenetics: recommendations for estimating biological aging in perinatal and pediatric samples","year":2025,"lang":"en","type":"article","venue":"Essays in Biochemistry","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Epigenetics; Biomarker; Biology; DNA methylation; Disease; Environmental epidemiology; Physiology; Bioinformatics; Medicine; Genetics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003580438,0.000175891,0.0001765899,0.0001369511,0.0000674507,0.00002436127,0.0001310022,0.0002421125,0.000007461029],"category_scores_gemma":[0.0002044718,0.0002010267,0.00004135667,0.000159733,0.00007383019,0.000004006968,0.0001674343,0.0001362654,2.105713e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007471444,"about_ca_system_score_gemma":0.00006053011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003710494,"about_ca_topic_score_gemma":0.00003950563,"domain_scores_codex":[0.9987059,0.00005599234,0.0004037244,0.0004914111,0.00005728277,0.0002856385],"domain_scores_gemma":[0.9995882,0.00008553424,0.00007897148,0.0001940422,0.00001187929,0.00004135266],"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":[0.00002072181,0.00008324218,0.5022364,0.00008508567,0.000005929091,0.000001802843,0.00006500026,0.001881473,0.4897064,0.00001733552,0.000005754242,0.005890849],"study_design_scores_gemma":[0.002379148,0.0001223532,0.1158071,0.0001817436,0.00002310746,0.000005155183,0.0006829484,0.01904279,0.8579653,0.002532836,0.0005924139,0.0006650675],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827951,0.005530013,0.01108398,0.00008548439,0.0001055782,0.0002429698,0.00004778264,0.00000484343,0.0001042681],"genre_scores_gemma":[0.9549185,0.001112597,0.04353859,0.00002887608,0.0001065398,0.00005740948,0.0001948454,0.00001354469,0.00002912106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3864292,"threshold_uncertainty_score":0.8197632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03117580457216735,"score_gpt":0.3175882317714423,"score_spread":0.286412427199275,"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."}}