{"id":"W2111925414","doi":"10.1136/tc.2009.035071","title":"Follow the money: How the billions of dollars that flow from smokers in poor nations to companies in rich nations greatly exceed funding for global tobacco control and what might be done about it","year":2010,"lang":"en","type":"article","venue":"Tobacco Control","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Physicians for a Smoke-Free Canada","funders":"Health Canada","keywords":"Tobacco control; Tobacco industry; Business; Earnings; Revenue; Shareholder; Control (management); Public health; Finance; Economics; Corporate governance; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001653638,0.0003052189,0.0006862927,0.0004140485,0.0006080103,0.000705717,0.0005881807,0.0002024591,0.00003001728],"category_scores_gemma":[0.002540061,0.0002000452,0.000154602,0.001311237,0.0001916648,0.001299754,0.0001369911,0.0002977636,0.000008489304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009985235,"about_ca_system_score_gemma":0.00008476569,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02273929,"about_ca_topic_score_gemma":0.1792221,"domain_scores_codex":[0.9977722,0.0001169452,0.0006342247,0.0004060975,0.0002861747,0.0007843194],"domain_scores_gemma":[0.9965748,0.002267273,0.000376071,0.000411768,0.0003014739,0.00006859463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006313004,0.0002574577,0.7733682,0.00008565458,0.0003685656,0.000004216761,0.000853136,0.005993115,0.0004082426,0.1343073,0.07565971,0.008063092],"study_design_scores_gemma":[0.008446109,0.00004359734,0.5770022,0.0001520865,0.0002197444,0.000002533143,0.008505533,0.02887255,0.000002458504,0.003763824,0.3725455,0.0004439429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6419075,0.0005465864,0.0006231269,0.3532266,0.0008616649,0.001904739,0.0002128904,0.00003876295,0.0006780986],"genre_scores_gemma":[0.9584638,0.0001205983,0.0002315567,0.04008244,0.0005360091,0.0004519695,0.00005288778,0.00002026886,0.00004048206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3165563,"threshold_uncertainty_score":0.9837683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03954378475932908,"score_gpt":0.2899310540334988,"score_spread":0.2503872692741698,"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."}}