{"id":"W2403188502","doi":"10.1186/s12889-016-3085-y","title":"Modelling the potential impact of a sugar-sweetened beverage tax on stroke mortality, costs and health-adjusted life years in South Africa","year":2016,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; South African Medical Research Council; International Development Research Centre","keywords":"Medicine; Environmental health; Stroke (engine); Biostatistics; Obesity; Public health; Epidemiology; Consumption (sociology); Disease burden; Demography; Quality-adjusted life year; Years of potential life lost; Gerontology; Cost effectiveness; Population; Life expectancy","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":[0.0009715423,0.0007842795,0.0006609928,0.0007430971,0.0004327371,0.001497023,0.0009451399,0.001542295,0.005761978],"category_scores_gemma":[0.00407048,0.0006061052,0.001280582,0.0008744794,0.0004774582,0.001119908,0.001060431,0.001033856,0.0003088235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003143271,"about_ca_system_score_gemma":0.002613714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08002216,"about_ca_topic_score_gemma":0.03642045,"domain_scores_codex":[0.9996562,0.0001642319,0.00001503821,0.00005012646,0.00001891474,0.00009551756],"domain_scores_gemma":[0.9986791,0.0009723178,0.0001593561,0.00002535558,0.00008926388,0.00007450172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001204627,0.00004873556,0.008060987,0.00006465718,0.00008550162,0.0002022782,0.0000917162,0.9855914,0.0001967532,0.002840693,0.000412369,0.002284508],"study_design_scores_gemma":[0.000098458,0.0001445832,0.005320396,0.00006989678,0.0001362817,0.00008530195,0.0002425225,0.9887089,0.0001802766,0.003470057,0.001515963,0.00002737654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679796,0.0006932773,0.01806925,0.001676694,0.00005292034,0.0001731171,0.003036927,0.0000689658,0.00824927],"genre_scores_gemma":[0.9918627,0.0004612626,0.003110491,0.00008960765,0.00001152267,0.000145021,0.0006025427,0.0000148168,0.003702094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08002216,"threshold_uncertainty_score":0.1591128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08743875293319918,"score_gpt":0.3345864223149901,"score_spread":0.2471476693817909,"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."}}