{"id":"W2927070862","doi":"10.18332/tpc/105189","title":"Using ISO 22382 (Tax Stamps) as a Means to Reduce Illicit Trade in Tobacco Products","year":2019,"lang":"en","type":"article","venue":"Tobacco Prevention & Cessation","topic":"Quality and Management Systems","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Third Health Programme; University of Waterloo; Canadian Institutes of Health Research; European Commission","keywords":"Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01087094,0.0007666949,0.0004588735,0.005357103,0.001641939,0.005727484,0.00155131,0.002847477,0.003880596],"category_scores_gemma":[0.02556246,0.0004743187,0.0007452087,0.003044727,0.002324635,0.003465113,0.00184721,0.002066144,0.005328471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002791884,"about_ca_system_score_gemma":0.01143858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01214004,"about_ca_topic_score_gemma":0.01036927,"domain_scores_codex":[0.9681165,0.004442022,0.001981411,0.0006807853,0.02402484,0.0007544913],"domain_scores_gemma":[0.9828562,0.001580713,0.002213357,0.002281982,0.0107148,0.0003529246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001808788,0.0006468081,0.008256628,0.00112644,0.00003622043,0.0002737169,0.001584595,0.005797975,0.02740877,0.1100612,0.1097733,0.7348534],"study_design_scores_gemma":[0.00006559465,0.0007130877,0.03340744,0.001266218,0.00009186695,0.0006617629,0.0009307511,0.005328913,0.0339234,0.02170502,0.9017116,0.0001942419],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09839054,0.008250193,0.2879875,0.02227983,0.003443483,0.003783965,0.002667943,0.01237256,0.560824],"genre_scores_gemma":[0.4776138,0.01123511,0.3726836,0.006834581,0.000983121,0.002062669,0.006168347,0.002435453,0.1199834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01214004,"threshold_uncertainty_score":0.05749166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05459925911173,"score_gpt":0.2992252441035481,"score_spread":0.2446259849918181,"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."}}