{"id":"W4390746667","doi":"10.1016/j.ypmed.2024.107855","title":"Assessing transnational spillover effects of Mexico's front-of-package nutritional labeling system among Mexican Americans in the US","year":2024,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute for Health and Care Research","keywords":"Medicine; Environmental health; Demography; Purchasing; Logistic regression; Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001839263,0.0002434062,0.0002095,0.0004386586,0.00100264,0.001247979,0.0003985807,0.0006182704,0.001767547],"category_scores_gemma":[0.003465706,0.0001859493,0.0003788367,0.0007992683,0.0004737222,0.000705175,0.001842531,0.0009815898,0.00009869691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566738,"about_ca_system_score_gemma":0.001456507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.147039,"about_ca_topic_score_gemma":0.1973813,"domain_scores_codex":[0.9991635,0.0004538149,0.00002838489,0.0001092763,0.00007203034,0.0001730352],"domain_scores_gemma":[0.997832,0.0006089373,0.0007834563,0.0001612976,0.0003603399,0.0002541078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004724633,0.0006478037,0.9875238,0.00002627575,0.0001763743,0.0001048638,0.002799872,0.0004058355,0.0004376584,0.0006224879,0.0005531911,0.006229324],"study_design_scores_gemma":[0.00001743969,0.0001238713,0.9881242,0.00002956323,0.0001516309,0.00002188747,0.01001508,0.0004866788,0.0001766087,0.00008590424,0.0007593994,0.000007778915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987518,0.0000387177,0.00004552003,0.0002145512,0.00000449007,0.000007939095,0.00008400551,9.854339e-7,0.000852003],"genre_scores_gemma":[0.9992298,0.00008608281,0.00008268623,0.0001031916,0.000006415254,0.00001321584,0.0001513835,0.000001049594,0.0003261922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.147039,"threshold_uncertainty_score":0.2923662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199737225410672,"score_gpt":0.3168064653085097,"score_spread":0.2968327427674425,"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."}}