{"id":"W4400051117","doi":"10.17615/68fb-3379","title":"South Africa's Health Promotion Levy: Excise tax findings and equity potential","year":2024,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; National Institutes of Health; South African Medical Research Council; International Development Research Centre; Bloomberg Philanthropies","keywords":"Excise; Equity (law); Business; Economics; Political science; Macroeconomics","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":[0.007062692,0.0003816079,0.0003052494,0.002646023,0.002031377,0.004265009,0.0005696236,0.001686755,0.02037691],"category_scores_gemma":[0.03254046,0.0002091137,0.0005164879,0.004459605,0.001906546,0.00448765,0.002719745,0.003341838,0.0006293965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007073297,"about_ca_system_score_gemma":0.01905476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05431172,"about_ca_topic_score_gemma":0.04943908,"domain_scores_codex":[0.9965145,0.001116132,0.0001359893,0.0001864054,0.001056727,0.0009902538],"domain_scores_gemma":[0.9811514,0.0130347,0.001957015,0.000357549,0.002317987,0.001181351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006785727,0.0002616266,0.06196978,0.006122293,0.0002398747,0.001974412,0.01509649,0.0009376564,0.0006971108,0.3113987,0.2255823,0.3750412],"study_design_scores_gemma":[0.0001693145,0.0001893491,0.1554504,0.01194672,0.000400905,0.0005557855,0.02699469,0.0006825748,0.00162326,0.03563976,0.7662321,0.0001151899],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1504727,0.06456106,0.001407382,0.5659788,0.002711813,0.0004064149,0.005548875,0.00004286221,0.2088701],"genre_scores_gemma":[0.885802,0.03793356,0.001263353,0.05422766,0.00110145,0.0002384814,0.001110581,0.00005280126,0.0182701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05431172,"threshold_uncertainty_score":0.1079912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1025588051161877,"score_gpt":0.4174966707781599,"score_spread":0.3149378656619721,"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."}}