{"id":"W2755083889","doi":"10.1111/add.14032","title":"Genome‐wide association study of a nicotine metabolism biomarker in African American smokers: impact of chromosome 19 genetic influences","year":2017,"lang":"en","type":"article","venue":"Addiction","topic":"Nicotinic Acetylcholine Receptors Study","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Brain Institute; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; National Cancer Institute; National Institutes of Health; National Institute on Drug Abuse; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Genome-wide association study; CYP2A6; Cotinine; Nicotine; Genetics; Population; Pharmacogenetics; Genetic association; Single-nucleotide polymorphism; Genotyping; SNP; Biology; Medicine; Genotype; Internal medicine; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003671116,0.0001697739,0.0003704053,0.0001274473,0.00008507477,0.00001942926,0.0003124945,0.00009173399,0.00002365206],"category_scores_gemma":[0.0007700682,0.0001558498,0.0001362969,0.0002000573,0.0001094874,0.00001479733,0.0001530114,0.00009415688,0.000002287132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001067271,"about_ca_system_score_gemma":0.0001021154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005428622,"about_ca_topic_score_gemma":0.0009684291,"domain_scores_codex":[0.9985438,0.0001701135,0.0004761398,0.0003256323,0.0002508364,0.000233488],"domain_scores_gemma":[0.9980802,0.00004017864,0.001094715,0.0005744108,0.0001454217,0.00006510432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009632218,0.0004423205,0.7730425,0.000003847123,0.0003491932,1.775881e-7,0.0003493252,0.000145833,0.2239484,2.190417e-7,0.00006524083,0.001556615],"study_design_scores_gemma":[0.001350609,0.0009953476,0.9852155,0.000009016175,0.00009460958,8.679634e-7,0.0005313955,0.00002989713,0.0113075,0.000003426438,0.0003276599,0.0001341015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988124,0.0003766768,0.00002058335,0.00003811381,0.0001086319,0.0004087091,0.00004067346,0.000007879807,0.0001863355],"genre_scores_gemma":[0.9994602,0.0002109507,0.0001032539,0.00001047992,0.00008129375,0.00003566483,0.00003502199,0.00001916789,0.00004393465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2126409,"threshold_uncertainty_score":0.8206489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212636459800186,"score_gpt":0.30095481694899,"score_spread":0.2888284523509881,"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."}}