{"id":"W4410479834","doi":"10.1017/s000711452500090x","title":"Brazilian front-of-package nutrition labelling and food additives: an approach to identify ultra-processed food products","year":2025,"lang":"en","type":"article","venue":"British Journal Of Nutrition","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bloomberg Philanthropies; University of North Carolina at Chapel Hill; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Pan American Health Organization; International Development Research Centre; World Health Organization","keywords":"Labelling; Food science; Food labelling; Food products; Added sugar; Convenience food; Nutrition facts label; Sugar; Food labeling; Identification (biology); Food additive; Nutrition Labeling; Food packaging; Chemistry; 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":[0.005654013,0.0006112368,0.0005431093,0.005711033,0.0007953903,0.001500021,0.0008359589,0.0007326675,0.001584057],"category_scores_gemma":[0.01108641,0.0004685721,0.0008768786,0.004300911,0.0007878494,0.001152471,0.002001573,0.0005887033,0.0003204293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733084,"about_ca_system_score_gemma":0.004265303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0463286,"about_ca_topic_score_gemma":0.07325584,"domain_scores_codex":[0.9964094,0.001453699,0.0003617975,0.000522176,0.0009684405,0.0002845514],"domain_scores_gemma":[0.99472,0.001244464,0.001811132,0.0003433515,0.00167999,0.0002009702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002595021,0.000377917,0.754789,0.002852175,0.0001456515,0.0007821957,0.03967154,0.0003001571,0.008880064,0.003710207,0.001491194,0.1867404],"study_design_scores_gemma":[0.00003653222,0.0005081285,0.8780777,0.002547012,0.0003101192,0.001407028,0.04711426,0.002806957,0.003416455,0.002165043,0.06151943,0.00009146493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9308643,0.004585172,0.0193493,0.002436114,0.0001336785,0.002327815,0.002379977,0.00007941619,0.03784429],"genre_scores_gemma":[0.9390912,0.002727277,0.05242163,0.0006840049,0.00003546843,0.001074337,0.001263252,0.000020591,0.002682142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0463286,"threshold_uncertainty_score":0.09211791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268218991552639,"score_gpt":0.2895143600396183,"score_spread":0.2668321701240919,"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."}}