{"id":"W3173528535","doi":"10.1038/s41370-021-00350-4","title":"Assessing secondhand and thirdhand tobacco smoke exposure in Canadian infants using questionnaires, biomarkers, and machine learning","year":2021,"lang":"en","type":"article","venue":"Journal of Exposure Science & Environmental Epidemiology","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital Research Institute of Manitoba; University of Alberta; Impact; University of Toronto; McMaster University; Hospital for Sick Children; University of British Columbia; Public Health Ontario; BC Centre for Disease Control; University of Manitoba; Simon Fraser University","funders":"Canadian Institutes of Health Research; Health Canada; Simon Fraser University; Canada Research Chairs","keywords":"Cotinine; Medicine; Third-hand smoke; Tobacco smoke; Secondhand smoke; Nicotine; Environmental health; Pregnancy; Cohort; Urinary system; Internal medicine; Cigarette smoke; Sidestream smoke","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003173007,0.0005401305,0.0004031326,0.001259677,0.00118388,0.000863426,0.000860093,0.0003600837,0.001092405],"category_scores_gemma":[0.006922435,0.0002428924,0.0006774508,0.002222722,0.0003852671,0.0002906365,0.0007120272,0.0004361648,0.0001719769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01348922,"about_ca_system_score_gemma":0.02169733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9810674,"about_ca_topic_score_gemma":0.9821326,"domain_scores_codex":[0.998274,0.000271587,0.00009592636,0.0001918909,0.0009078588,0.0002587748],"domain_scores_gemma":[0.9969012,0.000379908,0.0005555194,0.00009860651,0.001796092,0.0002685937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000574282,0.00002999037,0.9722722,0.0001132644,0.00008079797,0.00005393218,0.0006972637,0.0003649497,0.0004403864,0.0001329274,0.0008494371,0.02490735],"study_design_scores_gemma":[0.000003714878,0.00003938146,0.9962435,0.00004788856,0.00003522491,0.00004189853,0.0004555072,0.001574218,0.0003191145,0.00003618009,0.001192366,0.00001105798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869719,0.002115981,0.002919975,0.0006052419,0.00001924121,0.0001429679,0.003743703,0.00007251037,0.003408344],"genre_scores_gemma":[0.9917703,0.001284171,0.004298566,0.0001483184,0.000006541027,0.00008371987,0.00136616,0.000008498626,0.00103387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01893258,"threshold_uncertainty_score":0.0978716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05584206490627679,"score_gpt":0.3374588868112942,"score_spread":0.2816168219050174,"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."}}