{"id":"W4282839807","doi":"10.1093/cdn/nzac048.040","title":"Pre and Post COVID19 Pandemic Household Food Insecurity and Diet of Urban Children From Querétaro, Mexico","year":2022,"lang":"en","type":"article","venue":"Current Developments in Nutrition","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Pandemic; Environmental health; Food insecurity; Food security; Coronavirus disease 2019 (COVID-19); Demography; Medicine; Geography; Agriculture; Disease","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003627555,0.0002817709,0.000240806,0.0004757974,0.0007584749,0.0005965155,0.0003191233,0.0003580152,0.001118639],"category_scores_gemma":[0.000621855,0.0002615746,0.0003160443,0.0005378536,0.0002183155,0.0003599519,0.0005738132,0.0005013905,0.0001649141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008099843,"about_ca_system_score_gemma":0.0004593746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06080415,"about_ca_topic_score_gemma":0.101259,"domain_scores_codex":[0.9998257,0.0000298075,0.00001243861,0.00003658526,0.00002260941,0.00007299061],"domain_scores_gemma":[0.9995766,0.00003275049,0.0002196822,0.0000214576,0.00005240386,0.00009700893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005634817,0.000065565,0.9984817,0.000007504898,0.00001876717,0.00006712993,0.0004115784,0.00001109588,0.000125687,0.000006210159,0.00009124501,0.0006570834],"study_design_scores_gemma":[0.000002190642,0.00004510044,0.9990402,0.000002628369,0.000005956447,0.00003670482,0.0007438817,0.00001286139,0.00001533115,0.000001503777,0.00009271315,0.000001048281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994898,0.00005699772,0.00001008678,0.00002909657,0.000001967976,0.00000541286,0.0002922303,6.883726e-7,0.0001136182],"genre_scores_gemma":[0.998872,0.0001210139,0.00005402474,0.00004039758,0.000004376282,0.00002219244,0.0005916695,0.000001109936,0.0002932123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06080415,"threshold_uncertainty_score":0.1209005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1253003663406828,"score_gpt":0.3857731337571854,"score_spread":0.2604727674165026,"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."}}