{"id":"W2511323040","doi":"10.1093/eep/dvw018","title":"Adolescent epigenetic profiles and environmental exposures from early life through peri-adolescence","year":2016,"lang":"en","type":"article","venue":"Current Zoology","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"National Institute of Environmental Health Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; U.S. Environmental Protection Agency","keywords":"Phthalate; Epigenetics; DNA methylation; Benzhydryl compounds; Biomarker; Offspring; Methylation; Urine; Epigenome; Physiology; Urinary system; Peri; Biology; Pregnancy; Genetics; Medicine; Internal medicine; Gene; Bisphenol A; Endocrinology; Chemistry; Gene expression","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001770002,0.0003272036,0.0002945705,0.00003157737,0.0001988192,0.00002204171,0.0003035811,0.0001358595,0.002593347],"category_scores_gemma":[0.0000972143,0.0002535579,0.00006188658,0.00006088116,0.001114704,0.0002945605,0.0005103878,0.0002586663,0.001797139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002312392,"about_ca_system_score_gemma":0.00002012771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001434259,"about_ca_topic_score_gemma":0.00002536036,"domain_scores_codex":[0.9971972,0.0003047989,0.0003990814,0.001078874,0.0003428616,0.0006772439],"domain_scores_gemma":[0.9988881,0.000150414,0.000163899,0.0004692838,0.000002452401,0.0003258821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003018215,0.0001903386,0.8550434,0.00001287544,0.0000105752,0.000008455611,0.0006940565,0.000003199197,0.04355631,0.00002828374,0.0002554357,0.100167],"study_design_scores_gemma":[0.0007237082,0.0001377216,0.9852483,0.00009868846,0.00002634681,0.000006184925,0.0001697974,0.00003350163,0.005478067,0.0006212535,0.007104668,0.000351815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911997,0.002559096,0.004350219,0.0006262962,0.0003672905,0.0005381345,0.0001069707,0.00005299635,0.000199277],"genre_scores_gemma":[0.9958252,0.002790272,0.0004550021,0.0005619501,0.0001658075,0.00007519832,0.00001906052,0.00003547411,0.00007201402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1302049,"threshold_uncertainty_score":0.9999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363259318235911,"score_gpt":0.2529908817331117,"score_spread":0.2293582885507526,"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."}}