{"id":"W2523207814","doi":"10.1093/aje/kww014","title":"Accounting for Life-Course Exposures in Epigenetic Biomarker Association Studies: Early Life Socioeconomic Position, Candidate Gene DNA Methylation, and Adult Cardiometabolic Risk","year":2016,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research","keywords":"Life course approach; DNA methylation; Epigenetics; Confounding; Methylation; Socioeconomic status; Medicine; Biomarker; Demography; Genetics; Physiology; Biology; Psychology; Internal medicine; Developmental psychology; Gene; Population; Environmental health","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006745203,0.0001767006,0.001408764,0.0003501075,0.000121172,0.000005964279,0.00007876827,0.0001167858,0.0000106337],"category_scores_gemma":[0.01301434,0.0001229439,0.0001560754,0.0001577052,0.0002324065,0.0001298356,0.00002284936,0.0001970995,0.000005538613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003559652,"about_ca_system_score_gemma":0.0005918714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004569818,"about_ca_topic_score_gemma":0.0001311601,"domain_scores_codex":[0.9967437,0.0009526166,0.001453312,0.0002653149,0.0001105975,0.0004744618],"domain_scores_gemma":[0.9921305,0.004126307,0.002646813,0.0001394069,0.000652849,0.0003040862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000307441,0.0000278401,0.9682998,0.00002724128,0.001067082,0.000002431622,0.0008141555,0.000006663164,0.001054107,0.0002548869,0.001632396,0.02650594],"study_design_scores_gemma":[0.002381178,0.0006089601,0.9893462,0.0000816766,0.0003321248,0.00003145902,0.0007286919,0.00002519917,0.0000941795,0.005839346,0.0003987506,0.0001322196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682741,0.007096277,0.003476728,0.02057826,0.0002683879,0.000253984,0.00003149309,0.000009005114,0.00001178794],"genre_scores_gemma":[0.8849677,0.1035464,0.005582403,0.005417956,0.0004308935,0.00002095513,0.000005913243,0.00002094787,0.000006850541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09645014,"threshold_uncertainty_score":0.9952995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02958724923061989,"score_gpt":0.3492092473943398,"score_spread":0.3196219981637199,"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."}}