{"id":"W3135337054","doi":"10.3138/cpp.2021-001","title":"Food Insecurity amid the COVID-19 Pandemic: Food Charity, Government Assistance, and Employment","year":2021,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Food insecurity; Pandemic; Government (linguistics); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Food security; Economic growth; Political science; Business; Economics; Geography; Virology; Agriculture; Medicine; Infectious disease (medical specialty); Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001030555,0.0002449004,0.0002904575,0.001598143,0.004939506,0.001896757,0.0009814879,0.0007314291,0.003779542],"category_scores_gemma":[0.003858879,0.0002113144,0.0005634398,0.003693023,0.0009975448,0.0006019036,0.001828248,0.001425007,0.0001975484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01938584,"about_ca_system_score_gemma":0.05169654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9819725,"about_ca_topic_score_gemma":0.9935973,"domain_scores_codex":[0.9987171,0.0001269963,0.00002862556,0.00006230374,0.0002654717,0.0007996103],"domain_scores_gemma":[0.9973019,0.0001546535,0.0006117382,0.0000473869,0.0005205626,0.001363569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006570395,0.0001034879,0.9709083,0.00006244452,0.00004712661,0.0001621504,0.002305447,0.0001615176,0.00007909327,0.001080229,0.007197195,0.0178274],"study_design_scores_gemma":[0.000004946131,0.00001723112,0.9900919,0.0001289652,0.00001642823,0.000033437,0.007045593,0.0001685646,0.00002710203,0.0001533996,0.002301321,0.00001114269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710896,0.001844318,0.00009561307,0.01353752,0.00007177956,0.00005013234,0.003331459,0.00000757236,0.009972056],"genre_scores_gemma":[0.9959605,0.001406443,0.0001265172,0.0005883141,0.00002913491,0.00001705207,0.0008622693,0.000002468526,0.001007327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01938584,"threshold_uncertainty_score":0.1406547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2868586280748215,"score_gpt":0.4385574360894051,"score_spread":0.1516988080145836,"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."}}