{"id":"W3056228038","doi":"10.1002/gepi.22331","title":"Dissecting the genetic overlap of smoking behaviors, lung cancer, and chronic obstructive pulmonary disease: A focus on nicotinic receptors and nicotine metabolizing enzyme","year":2020,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; National Institute on Drug Abuse; National Heart, Lung, and Blood Institute; National Institute of Mental Health; National Institute on Alcohol Abuse and Alcoholism; National Human Genome Research Institute; Department of Education and Training; World Health Organization","keywords":"Lung cancer; COPD; CYP2A6; Smoking cessation; Medicine; Internal medicine; Nicotine; Linkage disequilibrium; Oncology; Single-nucleotide polymorphism; Genotype; Genetics; Pathology; Biology; Gene","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":[0.001335024,0.0004291676,0.0004652845,0.001728913,0.0004189037,0.0007411968,0.0003098616,0.0004256841,0.002729326],"category_scores_gemma":[0.002209745,0.0001796026,0.001102912,0.001912422,0.0004982627,0.0003255128,0.001041618,0.0005158119,0.0001324785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001668218,"about_ca_system_score_gemma":0.0002747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003359954,"about_ca_topic_score_gemma":0.005140414,"domain_scores_codex":[0.9988921,0.0005011985,0.00008131767,0.0002501925,0.0001572821,0.000117911],"domain_scores_gemma":[0.9983607,0.0009769537,0.0003102379,0.0001117062,0.0001008173,0.0001395919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000672775,0.00006981194,0.9440767,0.0001044946,0.001109836,0.0005235195,0.0003004014,0.0004131732,0.03537899,0.000688855,0.0002229542,0.0164386],"study_design_scores_gemma":[0.00001762233,0.0001555905,0.9952911,0.00002161436,0.0004090743,0.0005453357,0.0003115196,0.001133947,0.0009916452,0.0006889403,0.0004257708,0.000007731182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945359,0.001586829,0.002565111,0.0002881256,0.00001369158,0.00001122196,0.0002528782,0.0000202321,0.0007260783],"genre_scores_gemma":[0.9982485,0.0002704475,0.001055554,0.00007120917,0.00001682142,0.000007268622,0.0001396531,0.000008713334,0.0001819327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003359954,"threshold_uncertainty_score":0.009130478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03683985193928974,"score_gpt":0.3273751368793072,"score_spread":0.2905352849400175,"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."}}