{"id":"W2114345365","doi":"10.1158/1055-9965.epi-05-0723","title":"<i>CYP2A6</i>Genotype, Phenotype, and the Use of Nicotine Metabolites as Biomarkers during<i>Ad libitum</i>Smoking","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Cotinine; CYP2A6; Nicotine; Genotype; Smoking cessation; Chemistry; Pharmacology; Medicine; Internal medicine; Metabolism; Biochemistry; Gene; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001766154,0.0002815188,0.0007525258,0.0001984652,0.0001796001,0.0000157915,0.0001176218,0.0002872646,0.0001155591],"category_scores_gemma":[0.0007039421,0.0002048559,0.0002916743,0.0003801934,0.0007402128,0.0002056533,0.00007584376,0.0002273316,0.00000224764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001085319,"about_ca_system_score_gemma":0.0001079034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002178551,"about_ca_topic_score_gemma":0.0001308332,"domain_scores_codex":[0.9971702,0.0007725973,0.0009164247,0.0005204519,0.0002076751,0.0004127251],"domain_scores_gemma":[0.9978347,0.000778969,0.0006679177,0.0004507345,0.0001734205,0.0000942622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002406309,0.0001358296,0.9600464,0.0001691871,0.0007858216,0.00000333751,0.00007499853,0.00002774119,0.02174042,0.001831072,0.002295436,0.01048352],"study_design_scores_gemma":[0.0046451,0.00009232442,0.9741635,0.0003129441,0.001457927,0.00003378332,0.00004691807,0.0001231893,0.01118004,0.003507584,0.004223859,0.0002128861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771984,0.01807412,0.0004956057,0.00261326,0.0005460354,0.0007701069,0.00001651617,0.00008660661,0.0001993027],"genre_scores_gemma":[0.9951271,0.001927801,0.001067019,0.0005135164,0.0001679923,0.0001303525,0.0001659956,0.00003942933,0.0008608313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01792861,"threshold_uncertainty_score":0.835378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05116828803561132,"score_gpt":0.3312195895190074,"score_spread":0.2800513014833961,"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."}}