{"id":"W2038045293","doi":"10.1097/01.fpc.0000220560.59972.33","title":"Gene–gene interactions between CYP2B6 and CYP2A6 in nicotine metabolism","year":2007,"lang":"en","type":"article","venue":"Pharmacogenetics and Genomics","topic":"Nicotinic Acetylcholine Receptors Study","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Center for Research Resources; Canada Research Chairs; National Institute on Drug Abuse; Health Canada; NIH Clinical Center; National Institutes of Health; Centre for Addiction and Mental Health","keywords":"CYP2A6; Nicotine; Cotinine; CYP2B6; Genotype; Pharmacogenetics; Metabolite; Pharmacology; Haplotype; Biology; Metabolism; Genetics; Medicine; Gene; Endocrinology; Internal medicine; Cytochrome P450; CYP3A4","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004674158,0.0002459491,0.0002567592,0.0001106044,0.00009603547,0.00003253337,0.0001600424,0.0001119126,0.00001315244],"category_scores_gemma":[0.0000287809,0.0002632894,0.00005835192,0.0001186615,0.00009605953,0.000005225604,0.0003257713,0.0001944669,0.000005388432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002267509,"about_ca_system_score_gemma":0.00004555178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003421922,"about_ca_topic_score_gemma":0.0001072491,"domain_scores_codex":[0.998554,0.00004596664,0.0004233005,0.0004758568,0.00009920268,0.0004016604],"domain_scores_gemma":[0.9993478,0.0000375503,0.0001096332,0.0002284039,0.00005971951,0.0002168853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006007203,0.00007344094,0.05537756,0.000009567715,0.0001090586,0.000001083735,0.0001508828,0.00004151146,0.9216832,0.00001306037,0.0001139769,0.02236657],"study_design_scores_gemma":[0.001421728,0.00006704633,0.02921363,0.000003714322,0.00009442735,0.00003426163,0.00007300486,0.00009933976,0.8860586,0.00004389436,0.08257574,0.0003146199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905168,0.006802329,0.001641723,0.000123828,0.0002755804,0.0002758098,0.00006691083,0.00001042904,0.0002865422],"genre_scores_gemma":[0.9872484,0.006612703,0.004738054,0.0002290491,0.0008340365,0.000009453734,0.00009815268,0.00004584321,0.0001843759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08246177,"threshold_uncertainty_score":0.9999819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473730678911789,"score_gpt":0.3076562995420746,"score_spread":0.2929189927529567,"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."}}