{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002293432,0.0007308724,0.0008596014,0.0009862216,0.0008804909,0.0008191188,0.0006787391,0.0009947082,0.003300891],"category_scores_gemma":[0.004590716,0.0002661196,0.002121339,0.002504346,0.0004116895,0.0003015481,0.0005081429,0.0007761039,0.0001652176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003381857,"about_ca_system_score_gemma":0.0006517417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01305389,"about_ca_topic_score_gemma":0.01105552,"domain_scores_codex":[0.9985441,0.0006099173,0.0001048312,0.0004547007,0.0001503945,0.000136133],"domain_scores_gemma":[0.997874,0.001112094,0.0005070387,0.0002017996,0.0001521881,0.0001528945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002828114,0.00006183149,0.9753711,0.0001721774,0.008942913,0.0004448523,0.0001299023,0.000278537,0.003229892,0.0002079613,0.0005201058,0.007812729],"study_design_scores_gemma":[0.0002472305,0.0002312314,0.9856575,0.0000740195,0.01022157,0.0005069799,0.0001241804,0.0009891352,0.0005507016,0.0002639985,0.001120752,0.00001272803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897254,0.00724856,0.0007171881,0.0005529628,0.00006593859,0.00002064405,0.0009003986,0.0000215582,0.000747449],"genre_scores_gemma":[0.9977646,0.0009534968,0.0004747025,0.000133145,0.00004391707,0.00002024803,0.0003402577,0.0000086808,0.0002609421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01305389,"threshold_uncertainty_score":0.0259558,"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."}}