{"id":"W4387095402","doi":"10.1016/j.ypmed.2023.107710","title":"Public support for food policies in Mexican adults: Findings from the International Food Policy Study, 2017–2021","year":2023,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Université Laval","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; Public Health Agency; Public Health Agency of Canada","keywords":"Medicine; Promotion (chess); Logistic regression; Public policy; Subsidy; Food policy; Environmental health; Public support; Food security; Public health; Public economics; Economic growth; Political science; Geography; Politics; Agriculture; Economics; Nursing","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":[0.00168571,0.0001711498,0.0001872164,0.000808684,0.001009905,0.001588225,0.000470931,0.0009528333,0.002489125],"category_scores_gemma":[0.008330301,0.0002186661,0.0004314731,0.001795097,0.0004512274,0.001099515,0.001524011,0.001481935,0.0001580074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157335,"about_ca_system_score_gemma":0.002881455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1291657,"about_ca_topic_score_gemma":0.1661642,"domain_scores_codex":[0.9992315,0.0001676827,0.00007987076,0.00006909852,0.0001383107,0.0003135431],"domain_scores_gemma":[0.9955814,0.0006904531,0.002392108,0.0001591044,0.0005011932,0.0006756362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001442388,0.0003001832,0.9843039,0.00006452797,0.00008495009,0.00005567137,0.00281833,0.00004511674,0.00007385281,0.0005000018,0.003471791,0.008137353],"study_design_scores_gemma":[0.00001162475,0.00002267751,0.9911048,0.00005956785,0.00002927041,0.00001266675,0.006527964,0.00004759051,0.00002461722,0.00005829137,0.002096567,0.00000438246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891349,0.0006077623,0.0000352136,0.004808059,0.00004408724,0.00001939349,0.001875698,0.000003548668,0.003471301],"genre_scores_gemma":[0.9964098,0.0007327765,0.00005731861,0.000654768,0.00005380125,0.00004079426,0.001343362,0.000002497176,0.0007048669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1291657,"threshold_uncertainty_score":0.2568277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3184948208302293,"score_gpt":0.4970802139043008,"score_spread":0.1785853930740715,"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."}}