{"id":"W2995155036","doi":"10.1136/bmjopen-2019-031891","title":"Secondhand smoke exposure and support for smoke-free policies in cities and rural areas of China from 2009 to 2015: a population-based cohort study (the ITC China Survey)","year":2019,"lang":"en","type":"article","venue":"BMJ Open","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of Waterloo","funders":"Canadian Cancer Society Research Institute; University of Waterloo; Canadian Institutes of Health Research; Centers for Disease Control and Prevention; Chinese Center for Disease Control and Prevention; National Cancer Institute; Ontario Institute for Cancer Research","keywords":"Beijing; Tobacco control; Medicine; China; Environmental health; Logistic regression; Cohort; Smoke; Population; Rural area; Smoking prevalence; Demography; Public health; Socioeconomics; Geography","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":[0.0008499884,0.0004648655,0.0003484509,0.000878936,0.0007610535,0.000583848,0.0005444275,0.0004299766,0.001111525],"category_scores_gemma":[0.0008207396,0.0005595341,0.000695901,0.001566089,0.0003061532,0.0004915239,0.0007227186,0.0005484905,0.0002679946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021786,"about_ca_system_score_gemma":0.001500221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1005336,"about_ca_topic_score_gemma":0.1359476,"domain_scores_codex":[0.999611,0.00005051308,0.00004146084,0.0001104619,0.00008590106,0.0001007425],"domain_scores_gemma":[0.9991987,0.00002668719,0.000254939,0.00007837438,0.0001546401,0.0002866589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000450415,0.00002942919,0.9988561,0.000009141394,0.00004955818,0.00003023098,0.0001847591,0.00002098922,0.0001146825,0.00001186872,0.0002137666,0.0004343599],"study_design_scores_gemma":[0.00000490635,0.00003433264,0.9995682,0.000003085703,0.0000151064,0.00002311218,0.0001541528,0.0000416635,0.00001994615,0.000003796026,0.0001296429,0.000002094648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972067,0.00008624286,0.00004919001,0.00004293536,0.000005730734,0.00003986185,0.002303397,0.000003564774,0.0002623246],"genre_scores_gemma":[0.9972388,0.00008627196,0.00008199134,0.00005293103,0.000005785425,0.00005432632,0.002013921,0.000001850325,0.000464103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1005336,"threshold_uncertainty_score":0.199897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05347485998021698,"score_gpt":0.3763374761287178,"score_spread":0.3228626161485009,"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."}}