{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008799152,0.001836626,0.001211744,0.002545686,0.0003203166,0.001053134,0.00107825,0.0009789817,0.001687882],"category_scores_gemma":[0.02012913,0.0003373329,0.001828033,0.0018215,0.0003473332,0.0006301467,0.001187103,0.0008381272,0.0004245721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000336151,"about_ca_system_score_gemma":0.000460244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002752542,"about_ca_topic_score_gemma":0.002721494,"domain_scores_codex":[0.9949754,0.00295263,0.0003333889,0.0009513412,0.000625327,0.0001618867],"domain_scores_gemma":[0.9896104,0.006243198,0.001760567,0.0009657457,0.001058452,0.000361553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007558183,0.0004246318,0.8498511,0.0001430532,0.006836721,0.0003654219,0.0001606325,0.03584165,0.005122821,0.001453006,0.001703184,0.09053949],"study_design_scores_gemma":[0.001120188,0.0039741,0.3542482,0.0000953707,0.003085788,0.001231681,0.0001496813,0.6257954,0.00313056,0.004072516,0.00293771,0.0001588259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461721,0.0006268345,0.04992089,0.0002055371,0.00006770684,0.0001602667,0.001689753,0.0002666901,0.0008902464],"genre_scores_gemma":[0.9648826,0.0001564797,0.03184905,0.00006698508,0.00004647822,0.0001311616,0.00218826,0.00005877006,0.0006202923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008799152,"threshold_uncertainty_score":0.0465349,"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."}}