{"id":"W3006062621","doi":"10.1371/journal.pmed.1003015","title":"An evaluation of Chile’s Law of Food Labeling and Advertising on sugar-sweetened beverage purchases from 2015 to 2017: A before-and-after study","year":2020,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":497,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Carolina Population Center, University of North Carolina at Chapel Hill; Eunice Kennedy Shriver National Institute of Child Health and Human Development; International Development Research Centre; National Institute of Diabetes and Digestive and Kidney Diseases; Bloomberg Philanthropies; University of North Carolina at Chapel Hill; National Institute of Child Health and Human Development","keywords":"Food labeling; Advertising; Nutrition Labeling; Sugar; Food science; Environmental health; Business; Biotechnology; Medicine; Biology","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":[0.02015216,0.0004445698,0.0007225333,0.002035481,0.001369799,0.003580364,0.00190523,0.001291267,0.006444837],"category_scores_gemma":[0.04121767,0.0006535554,0.001907655,0.003488763,0.002134793,0.002633091,0.002702238,0.002270333,0.001079447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0117104,"about_ca_system_score_gemma":0.008961322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1755407,"about_ca_topic_score_gemma":0.1147111,"domain_scores_codex":[0.9902782,0.003981566,0.0005446173,0.001155463,0.002653104,0.00138714],"domain_scores_gemma":[0.9341307,0.0254799,0.02212707,0.004076787,0.01121852,0.00296695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.002332123,0.002862866,0.9584345,0.0003271547,0.0004187627,0.0002916286,0.00496012,0.0006643115,0.000230405,0.001171378,0.009288711,0.01901805],"study_design_scores_gemma":[0.0001425346,0.001057516,0.9840435,0.0001498914,0.0001664298,0.00002861163,0.006517772,0.0007647591,0.0003191969,0.0001321638,0.006638354,0.00003909024],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861994,0.0005454571,0.0001851495,0.001761373,0.00008272868,0.0003559564,0.003533964,0.0000351442,0.007300725],"genre_scores_gemma":[0.9915343,0.0004327949,0.0002023187,0.0008116065,0.0001039107,0.0004537615,0.00388997,0.00002836981,0.002542922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1755407,"threshold_uncertainty_score":0.3490378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0608389641890749,"score_gpt":0.3335659131180564,"score_spread":0.2727269489289815,"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."}}