{"id":"W2492497785","doi":"","title":"A rational taxation system of bidis and cigarettes to reduce smoking deaths in India","year":2011,"lang":"en","type":"article","venue":"Economic and political weekly/Economic & political weekly","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Consumption (sociology); Excise; Context (archaeology); Tax revenue; Harm; Revenue; Tobacco control; Business; Government (linguistics); Economics; Public economics; Medicine; Geography; Public health; Political science; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007834155,0.0004418217,0.001144784,0.0006602496,0.0001282692,0.0001026586,0.000332482,0.0003611167,0.000450923],"category_scores_gemma":[0.0002098059,0.0005445709,0.0001740596,0.00008294306,0.0004733069,0.0004918459,0.0002343448,0.0003224928,0.0004770698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009999051,"about_ca_system_score_gemma":0.0001433062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004728424,"about_ca_topic_score_gemma":0.00006651241,"domain_scores_codex":[0.9956245,0.00006357954,0.001904577,0.001000192,0.00003701056,0.001370183],"domain_scores_gemma":[0.9977208,0.000375366,0.0004755129,0.0004331524,0.00001839336,0.0009767698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006112392,0.00005397119,0.1261637,0.00007340496,0.0000636465,0.000003405654,0.0003954634,0.000004129708,0.000007279606,0.872646,0.0003589149,0.0001689996],"study_design_scores_gemma":[0.001452009,0.0002760906,0.686227,0.0000912895,0.00003023848,0.00005227746,0.001033416,0.002487816,0.0006018549,0.3054188,0.00155878,0.0007704044],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8126518,0.0001538453,0.0001205764,0.002511903,0.000430297,0.0003840548,0.000783444,0.00004572015,0.1829184],"genre_scores_gemma":[0.9974438,0.00001107015,0.0004332104,0.00115294,0.0005284374,0.00007842586,0.00003119582,0.00006010972,0.0002608442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5672272,"threshold_uncertainty_score":0.9997006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03216245716187549,"score_gpt":0.2336073095473335,"score_spread":0.201444852385458,"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."}}