{"id":"W4385442994","doi":"10.1002/hec.4741","title":"The health, economic and social burden of smoking in Argentina, and the impact of increasing tobacco taxes in a context of illicit trade","year":2023,"lang":"en","type":"article","venue":"Health Economics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cancer Research UK; International Development Research Centre; Cancer Research Institute","keywords":"Excise; Context (archaeology); Consumption (sociology); Tax revenue; Economic cost; Economics; Revenue; Yield (engineering); Productivity; Business; Environmental health; Public economics; Economic growth; Geography; Medicine","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":[0.0005027827,0.0002572045,0.0002541894,0.0004254989,0.0002951662,0.001013481,0.0002414615,0.0003671322,0.001615701],"category_scores_gemma":[0.001107083,0.0001746434,0.0004301286,0.0004137276,0.0002010501,0.0005513027,0.0004137917,0.0004904638,0.0001000749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00247779,"about_ca_system_score_gemma":0.001530936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1231902,"about_ca_topic_score_gemma":0.1002073,"domain_scores_codex":[0.9997826,0.00008093158,0.00001112361,0.00003120372,0.00004682491,0.00004730467],"domain_scores_gemma":[0.9996409,0.0001296452,0.0001175008,0.0000128458,0.00006490807,0.00003410415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004953448,0.0003624315,0.744421,0.0003656635,0.0002589576,0.001001878,0.0007145503,0.1525165,0.001933543,0.03396844,0.00781593,0.05614577],"study_design_scores_gemma":[0.00008567068,0.0003346178,0.5800442,0.0003023648,0.0002657803,0.0004941813,0.001705497,0.3880756,0.0007429755,0.01144935,0.01645024,0.00004954595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729062,0.003427122,0.004921597,0.00286922,0.00006531452,0.00005012066,0.001731564,0.00004182573,0.01398716],"genre_scores_gemma":[0.9955473,0.00179952,0.0007986411,0.00003647446,0.00003332948,0.00001802176,0.0005600599,0.000005863209,0.001200695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1231902,"threshold_uncertainty_score":0.2449464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04222932411746685,"score_gpt":0.3589451010838762,"score_spread":0.3167157769664094,"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."}}