{"id":"W4313887826","doi":"10.1016/j.tjnut.2022.12.031","title":"Prevalence and Severity of Food Insecurity Before and During the Coronavirus Disease 2019 Pandemic Among Adults and Youth in Australia, Canada, Chile, Mexico, the United Kingdom, and the United States","year":2023,"lang":"en","type":"article","venue":"Journal of Nutrition","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research; Health Canada; Public Health Agency; Public Health Agency of Canada","keywords":"Pandemic; Food insecurity; Demography; Environmental health; Population; Food security; Ethnic group; Medicine; Young adult; Logistic regression; Geography; Coronavirus disease 2019 (COVID-19); Gerontology; Disease; Political science; Infectious disease (medical specialty); Agriculture","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005483447,0.0002444998,0.0002790441,0.001198051,0.0007757269,0.0009171491,0.0004848549,0.0008346142,0.001372299],"category_scores_gemma":[0.001369246,0.0003612606,0.0007291874,0.001192898,0.0005549156,0.0008454936,0.0009788092,0.001188706,0.0001516573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160743,"about_ca_system_score_gemma":0.001074424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1949531,"about_ca_topic_score_gemma":0.2650919,"domain_scores_codex":[0.9995956,0.00004891335,0.00006083308,0.00007063912,0.0000688078,0.0001551877],"domain_scores_gemma":[0.9986508,0.00007853209,0.0005570929,0.00003795232,0.000168072,0.0005074798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003148186,0.00001928239,0.999253,0.000004668703,0.00001907142,0.00002491411,0.0002179249,0.00001290113,0.00003559203,0.00001029977,0.0000905907,0.000280469],"study_design_scores_gemma":[7.037959e-7,0.00001572661,0.9993052,0.000005404454,0.00000356755,0.00002238585,0.0005788697,0.00001945573,0.000005810659,0.000003025143,0.00003806715,0.00000168178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985298,0.0001569109,0.00001233315,0.00008631201,0.000008143425,0.000006618683,0.0008771839,0.000001524997,0.0003211465],"genre_scores_gemma":[0.9991292,0.000142356,0.00001462501,0.00003512257,0.000008342898,0.000006111932,0.0005111624,9.317339e-7,0.0001521913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8050469,"threshold_uncertainty_score":0.3876367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065740117359771,"score_gpt":0.3796273073675629,"score_spread":0.2730532956315859,"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."}}