{"id":"W1995565483","doi":"10.1097/01213011-200502000-00007","title":"Nicotine metabolism: the impact of CYP2A6 on estimates of additive genetic influence","year":2005,"lang":"en","type":"article","venue":"Pharmacogenetics and Genomics","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"CYP2A6; Cotinine; Zygosity; Nicotine; Pharmacogenetics; Metabolite; Heritability; Genotype; Genetic variation; Biology; Drug metabolism; Pharmacokinetics; Pharmacology; Genetics; Metabolism; Internal medicine; Medicine; Endocrinology; Gene; CYP1A2; Cytochrome P450","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":[0.01412066,0.0008837639,0.001419416,0.0007662347,0.0006612946,0.0008017833,0.0008300949,0.0007016604,0.0009625051],"category_scores_gemma":[0.05606059,0.0003740234,0.001608267,0.001397174,0.0007174702,0.000678355,0.0009947148,0.00127929,0.0002267271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003250513,"about_ca_system_score_gemma":0.0004635376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009951939,"about_ca_topic_score_gemma":0.009929005,"domain_scores_codex":[0.9811396,0.01430595,0.0005522408,0.001947866,0.001753986,0.0003003618],"domain_scores_gemma":[0.9670156,0.02612005,0.001418399,0.00417165,0.0009049401,0.0003693536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00139605,0.0000742125,0.9487618,0.00007909303,0.003710482,0.001041462,0.0003848069,0.004412067,0.008390114,0.001213906,0.0003228742,0.03021318],"study_design_scores_gemma":[0.00004411723,0.0004498299,0.9664437,0.00002594426,0.001982476,0.002256264,0.0001286363,0.02359725,0.002246789,0.002015806,0.0007654657,0.00004370666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531429,0.00237085,0.04177674,0.0003181876,0.00007582691,0.00006172396,0.0004721584,0.00007310613,0.001708501],"genre_scores_gemma":[0.9920911,0.0002814308,0.006959333,0.00006358653,0.00003097807,0.0000295614,0.000194576,0.00004631955,0.0003031577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01412066,"threshold_uncertainty_score":0.07467812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05210897026128342,"score_gpt":0.4206246086507744,"score_spread":0.368515638389491,"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."}}