{"id":"W3141104326","doi":"10.5304/jafscd.2021.102.049","title":"COVID-19 and school food: The impact of the early stages of the coronavirus pandemic on student nutrition programs in Ontario","year":2021,"lang":"en","type":"article","venue":"Journal of Agriculture Food Systems and Community Development","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Food security; Medicine; Environmental health; Geography; Virology; Agriculture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00176051,0.0001383163,0.0003680055,0.00004687444,0.001434461,0.0000283735,0.0003450651,0.0001583421,0.00001333429],"category_scores_gemma":[0.0001996247,0.00005660133,0.00010367,0.0002517487,0.00007197366,0.00007823942,0.0002661571,0.002121545,4.157664e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008850351,"about_ca_system_score_gemma":0.002084042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03077087,"about_ca_topic_score_gemma":0.3360004,"domain_scores_codex":[0.9959189,0.002444756,0.0009354002,0.00007493265,0.0004323898,0.0001936155],"domain_scores_gemma":[0.9978065,0.000414478,0.0009735891,0.000256345,0.0003826816,0.0001664296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006280381,0.0005754663,0.9208682,0.0004378579,0.0001639217,7.770066e-7,0.0768922,0.00007671547,0.00006661108,0.0003040939,0.0004629412,0.00008843326],"study_design_scores_gemma":[0.001114532,0.000788519,0.9334739,0.001692371,0.00002622975,0.00002961352,0.05885538,3.953832e-7,0.00001196737,0.0001379018,0.003804268,0.00006494048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961802,0.001360644,0.000001544466,0.000955764,0.0002894999,0.00110188,0.00002335329,0.000003797687,0.00008326091],"genre_scores_gemma":[0.9994299,0.000188019,0.00002627251,0.0001529905,0.00003642317,0.00004120421,0.000005282939,0.000004302691,0.0001156521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3052295,"threshold_uncertainty_score":0.9998655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2317163360520296,"score_gpt":0.4190747943335177,"score_spread":0.1873584582814881,"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."}}