{"id":"W3176963108","doi":"10.1096/fasebj.26.1_supplement.1032.9","title":"Evaluating the impact of the Nutrition Facts table and front‐of‐pack nutrition rating systems on consumersˈ product healthiness evaluations","year":2012,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Nutrition, Health and Food Behavior","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Toronto","funders":"Dairy Farmers of Canada; Advanced Foods and Materials Network","keywords":"Product (mathematics); Profit (economics); Psychology; Advertising; Business; Mathematics; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00431554,0.0001791182,0.0002947492,0.000100944,0.001368937,0.00008646432,0.0002155591,0.0000712968,0.00003797085],"category_scores_gemma":[0.0006069491,0.00008909007,0.0001362291,0.0003074378,0.0001753148,0.0003447951,0.0000248062,0.0005879886,0.00000411987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002455647,"about_ca_system_score_gemma":0.0002019252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004856419,"about_ca_topic_score_gemma":0.00001238329,"domain_scores_codex":[0.9965228,0.001502172,0.0007063316,0.0001423462,0.0006713601,0.0004550169],"domain_scores_gemma":[0.9975061,0.0005383387,0.0009179367,0.0003548434,0.0005294184,0.0001532931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003734574,0.004355351,0.1033882,0.00324014,0.000248525,0.00000118555,0.01683809,0.004053686,0.8240867,0.0002880121,0.01164151,0.02812392],"study_design_scores_gemma":[0.02035005,0.009140254,0.5536072,0.01420754,0.002095992,0.002870322,0.02628763,0.02406595,0.3431392,0.002792446,0.0003333885,0.001110008],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856493,0.008464819,0.00004012885,0.002349996,0.001413864,0.001925587,0.00008793673,0.00001397022,0.00005434625],"genre_scores_gemma":[0.9986004,0.000145133,0.0001593583,0.00007144755,0.0008894933,0.00007946673,0.00001351005,0.00002126707,0.0000199448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4809476,"threshold_uncertainty_score":0.9999312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120047431456878,"score_gpt":0.424489521820506,"score_spread":0.3124847786748182,"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."}}