{"id":"W1983687721","doi":"10.1093/ntr/nts169","title":"Tobacco Industry Strategies to Minimize or Mask Cigarette Smoke: Opportunities for Tobacco Product Regulation","year":2012,"lang":"en","type":"article","venue":"Nicotine & Tobacco Research","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; University of Waterloo","funders":"National Cancer Institute; U.S. Food and Drug Administration; Flight Attendant Medical Research Institute","keywords":"Tobacco industry; Smoke; Business; Packaging and labeling; Tobacco smoke; Product (mathematics); Intellectual property; Tobacco product; Environmental health; Trademark; Tobacco control; Cigarette smoke; Secondhand smoke; Advertising; Public health; Marketing; Medicine; Engineering; Waste management; Political science; Law","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":[0.01075256,0.0003386718,0.000365978,0.001155627,0.001119516,0.004122408,0.001506131,0.004766237,0.006306229],"category_scores_gemma":[0.0121425,0.0002079529,0.0008379638,0.00109864,0.002574628,0.00463768,0.001445001,0.003233408,0.0009718196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00234653,"about_ca_system_score_gemma":0.009661392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003504133,"about_ca_topic_score_gemma":0.006312848,"domain_scores_codex":[0.9960853,0.001141336,0.0002573516,0.0003410237,0.001832157,0.0003428452],"domain_scores_gemma":[0.9884393,0.00595117,0.002569902,0.0004927277,0.00191785,0.0006291188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001246416,0.000867262,0.01347218,0.005185626,0.00005794788,0.0009168415,0.002150053,0.001334049,0.009396348,0.09355927,0.07548094,0.7974548],"study_design_scores_gemma":[0.0001314143,0.0007469598,0.02254856,0.009207059,0.0001398653,0.001211076,0.002827715,0.001929288,0.005016721,0.04615716,0.9099942,0.00008995432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03674701,0.2458364,0.01376377,0.5730951,0.002270713,0.0005841494,0.0002461837,0.0003651904,0.1270915],"genre_scores_gemma":[0.5070276,0.2966527,0.03697435,0.1299445,0.005408528,0.000857119,0.0003859784,0.00008788951,0.02266142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01075256,"threshold_uncertainty_score":0.05686563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.339006395136543,"score_gpt":0.4420786574124598,"score_spread":0.1030722622759168,"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."}}