{"id":"W2505539351","doi":"10.1186/s13059-016-1030-0","title":"An epigenetic clock analysis of race/ethnicity, sex, and coronary heart disease","year":2016,"lang":"en","type":"article","venue":"Genome biology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":789,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"National Center for Advancing Translational Sciences; National Institute of Environmental Health Sciences; National Institute of Allergy and Infectious Diseases; National Institute on Aging; University at Buffalo; MedStar Health Research Institute; Wake Forest University; University of Pittsburgh; U.S. Department of Health and Human Services; National Institutes of Health; Ohio State University; National Heart, Lung, and Blood Institute; Brigham and Women's Hospital; National Cancer Institute","keywords":"Epigenetics; Demography; Biology; Mortality rate; Disease; Physiology; Ethnic group; Life expectancy; Medicine; Gerontology; Internal medicine; Genetics; Population; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002493548,0.0001330575,0.0002560562,0.0001247031,0.00004584137,0.000004875803,0.0001357394,0.0001477616,0.0000550178],"category_scores_gemma":[0.00004973122,0.00009999366,0.00009238964,0.0001362954,0.0001949816,0.000002535417,0.0001059517,0.00002840077,0.000003636476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000893425,"about_ca_system_score_gemma":0.00004821454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002023491,"about_ca_topic_score_gemma":0.00003485196,"domain_scores_codex":[0.9988643,0.0001791888,0.0002425055,0.0004235811,0.00005556874,0.0002348454],"domain_scores_gemma":[0.9991774,0.0000328618,0.00009109682,0.0004483688,0.00006662635,0.0001836611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005989326,0.00003680071,0.2737233,0.000004152255,0.0001318181,5.495704e-7,0.00001442208,0.00005350529,0.7224293,0.00007337234,0.000003852359,0.003469072],"study_design_scores_gemma":[0.0003349235,0.0006513564,0.9215695,0.000002281197,0.0002294173,8.789173e-7,0.00001050259,0.00005580989,0.06837489,0.0007004611,0.007883498,0.0001865469],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859798,0.007588236,0.005851954,0.0001866974,0.00005086695,0.0001191688,0.0001637073,0.00000727243,0.00005231594],"genre_scores_gemma":[0.9972785,0.001604025,0.0004339559,0.0001201957,0.00009308752,0.00001077915,0.0002597666,0.00001346486,0.0001862821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6540544,"threshold_uncertainty_score":0.4077623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204599034083154,"score_gpt":0.2815035904373481,"score_spread":0.2694576000965165,"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."}}