{"id":"W4205703591","doi":"10.1136/tobaccocontrol-2021-056805","title":"Differential impact of the Canadian point-of-sale tobacco display bans on quit attempts and smoking cessation outcomes by sex, income and education: longitudinal findings from the ITC Canada Survey","year":2022,"lang":"en","type":"article","venue":"Tobacco Control","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Ontario Institute for Cancer Research","keywords":"Smoking cessation; Poisson regression; Tobacco control; Demography; Quit smoking; Medicine; Generalized estimating equation; Population; Differential effects; Survey data collection; Relative risk; Environmental health; Public health; Confidence interval","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":[0.002743704,0.0004498078,0.0006159628,0.001839563,0.002243325,0.001325557,0.00216286,0.0005682503,0.003558053],"category_scores_gemma":[0.0103683,0.0005987666,0.001670431,0.004287188,0.0008942662,0.0007682431,0.001946938,0.001671405,0.0002550767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02059888,"about_ca_system_score_gemma":0.0322297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952701,"about_ca_topic_score_gemma":0.9956665,"domain_scores_codex":[0.9968511,0.000371671,0.0001801174,0.0004416073,0.001327007,0.0008284571],"domain_scores_gemma":[0.9932295,0.000586019,0.001590483,0.000397873,0.003249193,0.0009468485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008670879,0.0000245815,0.9938181,0.00003886313,0.0001499835,0.00002985525,0.0007778715,0.00009288338,0.00007353598,0.0001484309,0.00128372,0.003475335],"study_design_scores_gemma":[0.000004022221,0.000008540734,0.9986317,0.00003104818,0.00003558459,0.00001729247,0.0004531833,0.0001929796,0.0000285209,0.00002097552,0.0005671129,0.000009030158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750675,0.002164294,0.0005488152,0.001803016,0.0000453901,0.0000862974,0.01736727,0.00003335207,0.002884024],"genre_scores_gemma":[0.9937779,0.0005670835,0.0003464248,0.0001671492,0.000007955716,0.00003134145,0.003869494,0.00001494233,0.001217855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02059888,"threshold_uncertainty_score":0.149456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553171635342684,"score_gpt":0.2713636760332291,"score_spread":0.2558319596798023,"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."}}