{"id":"W3111751984","doi":"10.1016/j.jneb.2020.10.010","title":"Optimizing Lessons Learned from COVID-19’s Effects on School Nutrition Programs","year":2020,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"CLARITY; Population; Public health; Medical education; Food security; Food insecurity; Psychology; Socioemotional selectivity theory; Medicine; Gerontology; Environmental health; Nursing; Agriculture; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006042336,0.0006446019,0.0005181768,0.0007377944,0.002268031,0.002097497,0.002564179,0.001000872,0.01743427],"category_scores_gemma":[0.01186303,0.0003495549,0.0007143418,0.000535514,0.0004287292,0.0009189839,0.00368686,0.002210824,0.001694199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004783473,"about_ca_system_score_gemma":0.0164209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02935623,"about_ca_topic_score_gemma":0.09947457,"domain_scores_codex":[0.9958029,0.00190028,0.0001428491,0.0003659542,0.0009685297,0.000819509],"domain_scores_gemma":[0.9912624,0.002288359,0.0003183349,0.0004727122,0.001575701,0.004082512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001544785,0.02619108,0.02136264,0.0005922181,0.0001016948,0.0002745189,0.002492831,0.00516226,0.003012955,0.005065991,0.06292507,0.8712739],"study_design_scores_gemma":[0.004735023,0.02455718,0.2896106,0.003672517,0.000855491,0.0004648388,0.01730827,0.01740016,0.02517772,0.01350866,0.6024297,0.0002798849],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7433994,0.001253261,0.02032797,0.05311042,0.002506066,0.005373332,0.002964844,0.002147648,0.1689171],"genre_scores_gemma":[0.8545678,0.001296023,0.09879866,0.00737802,0.0003701132,0.002333179,0.001700502,0.0002926301,0.03326294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02935623,"threshold_uncertainty_score":0.05837071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3131255322929407,"score_gpt":0.5116669041985532,"score_spread":0.1985413719056125,"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."}}