{"id":"W3201396074","doi":"10.1136/tobaccocontrol-2021-056798","title":"‘Beyond nicotine’ marketing strategies: Big Tobacco diversification into the vaping and cannabis product sectors","year":2021,"lang":"en","type":"article","venue":"Tobacco Control","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Cannabis; Business; Appeal; Leverage (statistics); Tobacco industry; Marketing; Advertising; Medicine; Political science; Law; Psychiatry","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":[0.002142121,0.0005856354,0.0003062081,0.00157161,0.007644677,0.01250732,0.001428399,0.00209126,0.01190309],"category_scores_gemma":[0.001772819,0.000369399,0.0006194019,0.001858154,0.01037248,0.01151644,0.008395132,0.005372403,0.001713592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01905463,"about_ca_system_score_gemma":0.02251445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1629993,"about_ca_topic_score_gemma":0.3354211,"domain_scores_codex":[0.9986926,0.0002396611,0.00002307962,0.0001628919,0.000445173,0.0004366034],"domain_scores_gemma":[0.9978467,0.00034412,0.0001139467,0.00008314801,0.0003243783,0.001287667],"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":[0.0003622787,0.0005498595,0.03292704,0.0009015024,0.00007200024,0.001554733,0.04637939,0.0004149346,0.007036778,0.20622,0.09081291,0.6127687],"study_design_scores_gemma":[0.00005321965,0.0002229298,0.05936714,0.00163448,0.00005138648,0.00135542,0.05326529,0.001194208,0.002221143,0.07357718,0.806938,0.0001196096],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3557269,0.05751426,0.008132467,0.2930144,0.001602353,0.0004575471,0.0004784461,0.0004925507,0.2825812],"genre_scores_gemma":[0.8609541,0.02373601,0.006207638,0.07477791,0.0009168478,0.0001018917,0.0005317273,0.0002645335,0.03250948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1629993,"threshold_uncertainty_score":0.3241012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816002905448363,"score_gpt":0.2539564273718751,"score_spread":0.2357963983173914,"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."}}