{"id":"W2138823831","doi":"10.1161/circgenetics.115.001097","title":"DNA Methylation of the Aryl Hydrocarbon Receptor Repressor Associations With Cigarette Smoking and Subclinical Atherosclerosis","year":2015,"lang":"en","type":"article","venue":"Circulation Cardiovascular Genetics","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"Douglas College","funders":"National Institute of Environmental Health Sciences; National Heart, Lung, and Blood Institute; National Institutes of Health; National Center for Research Resources; Broad Institute","keywords":"DNA methylation; Aryl hydrocarbon receptor; Methylation; Cotinine; Biomarker; Aryl hydrocarbon receptor nuclear translocator; Biology; Internal medicine; Chemistry; Gene; Endocrinology; Gene expression; Medicine; Genetics; Nicotine; Transcription factor","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":[0.0003257025,0.0001664901,0.0002060011,0.0003475653,0.0001488593,0.000289715,0.0001587951,0.0002142314,0.001991641],"category_scores_gemma":[0.0007624257,0.0001296572,0.0001498794,0.0003762489,0.0001921648,0.0000796838,0.0002152985,0.0002417686,0.0001845331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001665471,"about_ca_system_score_gemma":0.0001781029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002686907,"about_ca_topic_score_gemma":0.003111652,"domain_scores_codex":[0.9998136,0.0000460271,0.00001446993,0.00006688295,0.00003446532,0.00002466597],"domain_scores_gemma":[0.9994887,0.0001151107,0.0002152261,0.00004187489,0.00005432736,0.00008480268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001311167,0.00004584507,0.9543879,0.00004946758,0.0001869755,0.00006207796,0.000104955,0.0001005783,0.03857036,0.00009058472,0.0001501339,0.004939814],"study_design_scores_gemma":[0.00001289314,0.00006544273,0.9975745,0.000003122607,0.00006625944,0.0001856023,0.00002088267,0.0003221604,0.001547713,0.00007373702,0.000125276,0.000002461428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987553,0.0004288464,0.0002693966,0.00003501623,0.000002554254,0.000003178754,0.0002257634,0.000009191819,0.0002707012],"genre_scores_gemma":[0.9994306,0.00006689553,0.0001590916,0.00000975089,0.000004942623,0.000003571776,0.0001424027,0.000002534194,0.0001801218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002686907,"threshold_uncertainty_score":0.006662667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0329061000632655,"score_gpt":0.2356674612673957,"score_spread":0.2027613612041302,"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."}}