{"id":"W2902498256","doi":"10.1186/s12889-018-6157-3","title":"Opening windows and closing gaps: a case analysis of Canada’s 2009 tobacco additives ban and its policy lessons","year":2018,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; McGill University; McGill University Health Centre","funders":"American Cancer Society","keywords":"Tobacco control; Tobacco industry; Legislation; Civil society; Opposition (politics); Public administration; Stakeholder; Government (linguistics); Dissent; Public health; Health policy; Public policy; Politics; Policy analysis; Protectionism; Public relations; Medicine; Political science; Business; Law; International trade","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00790498,0.0005749114,0.0006179116,0.003820979,0.03024986,0.008486258,0.003824202,0.005466295,0.00343256],"category_scores_gemma":[0.01295205,0.000648019,0.0006716769,0.009073528,0.007635585,0.002929171,0.003926513,0.004739746,0.0002841831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08776171,"about_ca_system_score_gemma":0.08953658,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9054376,"about_ca_topic_score_gemma":0.959994,"domain_scores_codex":[0.9920918,0.002544783,0.0001891582,0.0004432357,0.002065667,0.00266553],"domain_scores_gemma":[0.9883683,0.006477724,0.0009626918,0.0004727172,0.002478139,0.001240403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002141464,0.0004147368,0.04759233,0.0007189365,0.00006583005,0.06606118,0.7222858,0.003238951,0.002009056,0.07182435,0.02794884,0.05762582],"study_design_scores_gemma":[0.00001649885,0.00004932804,0.01815135,0.0007043304,0.00003839921,0.001610387,0.8766221,0.001701618,0.0008472346,0.002950628,0.09725502,0.0000530222],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9101842,0.002466213,0.003308537,0.02033749,0.0001750505,0.0007314957,0.0007879931,0.00003941892,0.06196965],"genre_scores_gemma":[0.9761849,0.002379234,0.004536896,0.002045677,0.00003587123,0.0001890289,0.0003140617,0.00004515836,0.01426915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09456235,"threshold_uncertainty_score":0.6367587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07124987794760951,"score_gpt":0.3530274862818519,"score_spread":0.2817776083342424,"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."}}