{"id":"W4414161293","doi":"10.1136/bmj-2025-085608","title":"Tobacco kills: stronger excise taxes would save lives","year":2025,"lang":"en","type":"article","venue":"BMJ","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Excise; Opposition (politics); Tobacco control; Tobacco industry; Tobacco use; Control (management)","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":[0.003968683,0.0007342264,0.0004598254,0.000832516,0.002351264,0.005031913,0.0008355607,0.01236691,0.02825451],"category_scores_gemma":[0.03383369,0.0003665527,0.001212088,0.0006686504,0.002175095,0.003671672,0.002570705,0.01380454,0.007251033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003320123,"about_ca_system_score_gemma":0.005054828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0117308,"about_ca_topic_score_gemma":0.01736805,"domain_scores_codex":[0.9974612,0.00100172,0.0001363573,0.0002611732,0.0005869811,0.0005525801],"domain_scores_gemma":[0.9873803,0.006223327,0.001381156,0.0003854751,0.002255372,0.002374474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00071696,0.0001986005,0.0052322,0.0001573535,0.0002073525,0.0001129636,0.0002637148,0.0001407088,0.0002033963,0.01514105,0.9319056,0.04572008],"study_design_scores_gemma":[0.001142889,0.0005362967,0.0257086,0.001781689,0.0008186983,0.000334824,0.006346954,0.001060502,0.001763511,0.1066186,0.8536535,0.0002339025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00315176,0.001917734,0.0002016606,0.973243,0.01133271,0.00001624297,0.0002092108,0.00003743604,0.009890327],"genre_scores_gemma":[0.1201984,0.005477482,0.0007042157,0.8328351,0.02150351,0.00009049213,0.000387989,0.0000920241,0.01871079],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02825451,"threshold_uncertainty_score":0.09452075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03285359637150159,"score_gpt":0.3333355092771941,"score_spread":0.3004819129056925,"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."}}