{"id":"W4245001780","doi":"10.12688/gatesopenres.13051.1","title":"Impact of cigarette price increase on health and financing outcomes in Vietnam","year":2019,"lang":"en","type":"preprint","venue":"Gates Open Research","topic":"Global Health Care Issues","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research; St. Michael's Hospital","funders":"World Bank Group; Bill and Melinda Gates Foundation","keywords":"Excise; Poverty; Economics; Price elasticity of demand; Revenue; Tax revenue; Demographic economics; Development economics; Socioeconomics; Environmental health; Economic growth; Medicine; Public economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003172729,0.0002835953,0.0004348864,0.0004143179,0.0002147358,0.001182274,0.0005113023,0.0004700511,0.006439735],"category_scores_gemma":[0.007828749,0.000204098,0.001391777,0.0005919337,0.0003592644,0.0008191683,0.0007169512,0.001244155,0.0001527983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005278469,"about_ca_system_score_gemma":0.003518393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07324683,"about_ca_topic_score_gemma":0.04041267,"domain_scores_codex":[0.9978879,0.001361049,0.00007530455,0.0001067647,0.0001398081,0.0004291892],"domain_scores_gemma":[0.995528,0.002416337,0.0008575323,0.00009287591,0.0004650661,0.0006400492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01071753,0.002558803,0.6958005,0.002204817,0.004702286,0.002604031,0.0006895515,0.1647144,0.001063774,0.01145409,0.01682723,0.08666303],"study_design_scores_gemma":[0.001932109,0.006618737,0.841928,0.001206926,0.00250735,0.0008175294,0.003257611,0.1187713,0.001635158,0.007254457,0.01392776,0.0001431457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812603,0.002294167,0.0006634825,0.005459804,0.0001225045,0.0001548469,0.004112585,0.00002222198,0.005910114],"genre_scores_gemma":[0.9974205,0.0005522622,0.0001674494,0.0004050381,0.00002762432,0.00005800306,0.0007871632,0.000005980157,0.0005759667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07324683,"threshold_uncertainty_score":0.145641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2392053928247692,"score_gpt":0.6041717369675869,"score_spread":0.3649663441428176,"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."}}