{"id":"W2918272309","doi":"10.1111/adb.12741","title":"Evaluation of a weighted genetic risk score for the prediction of biomarkers of CYP2A6 activity","year":2019,"lang":"en","type":"article","venue":"Addiction Biology","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; University of Toronto","funders":"National Institute of General Medical Sciences; National Institutes of Health; National Institute on Drug Abuse; Ontario Ministry of Research, Innovation and Science; Canada Foundation for Innovation; Canadian Institutes of Health Research; Ontario Ministry of Research and Innovation; Centre for Addiction and Mental Health Foundation","keywords":"Cotinine; CYP2A6; Nicotine; Genome-wide association study; Medicine; Genotype; Cohort; Allele; Pharmacogenetics; Smoking cessation; Oncology; Internal medicine; Single-nucleotide polymorphism; Bioinformatics; Biology; Gene; Genetics; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.0008297235,0.00006192178,0.0001736995,0.0001135809,0.00002747333,7.577879e-7,0.00003995237,0.0001349285,0.0002516299],"category_scores_gemma":[0.0001570072,0.00004293533,0.00008759668,0.000170753,0.00009744872,0.00002911947,0.000008686749,0.00006059727,6.38782e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004996042,"about_ca_system_score_gemma":0.00009551308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001931491,"about_ca_topic_score_gemma":0.000007642029,"domain_scores_codex":[0.9991632,0.0001564861,0.0002528852,0.0001347076,0.0002200449,0.00007267841],"domain_scores_gemma":[0.9986666,0.0001720368,0.000382046,0.0002207938,0.0005434803,0.00001500946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003898202,0.0001019654,0.7139816,0.00002861768,0.0002486321,1.233597e-8,0.00008899874,0.00003777992,0.1629599,0.00004078672,0.00008315808,0.1220388],"study_design_scores_gemma":[0.001783126,0.0008227606,0.9075976,0.00003600481,0.001292124,0.000003066525,0.00005934374,0.01297961,0.07508775,0.0001867279,0.000125434,0.00002643929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948387,0.0001351596,0.003251814,0.00004287506,0.0004666669,0.0009025498,0.000171684,0.00001316237,0.0001773882],"genre_scores_gemma":[0.9995769,0.00009673097,0.0001016127,0.000004909631,0.00004313099,0.00005987813,0.00009849079,0.000006530102,0.00001176315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.193616,"threshold_uncertainty_score":0.2755171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04887918753723364,"score_gpt":0.3230930761840558,"score_spread":0.2742138886468222,"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."}}