{"id":"W3159715710","doi":"10.1111/cjag.12286","title":"COVID‐19 and food processing in Canada","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Food processing; Coronavirus disease 2019 (COVID-19); Food service; Pandemic; Food industry; Tertiary sector of the economy; Business; Political science; Marketing; Infectious disease (medical specialty); Medicine","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":[0.0005068514,0.0002395466,0.0001864576,0.001695898,0.005104531,0.003407786,0.0008754911,0.0006883197,0.01915136],"category_scores_gemma":[0.00154517,0.0002436049,0.000490004,0.004064515,0.001158639,0.0007324283,0.001890695,0.001479499,0.0009043782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07412792,"about_ca_system_score_gemma":0.1074708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923797,"about_ca_topic_score_gemma":0.9963517,"domain_scores_codex":[0.9989241,0.00004367614,0.00002600273,0.00008610819,0.0003875787,0.0005325864],"domain_scores_gemma":[0.9982442,0.00009568393,0.0002303454,0.00002586734,0.0007729602,0.0006309758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005144606,0.0004886501,0.7156608,0.0008204171,0.0001616667,0.003037899,0.00998948,0.002563433,0.002473024,0.04742718,0.07436703,0.1424959],"study_design_scores_gemma":[0.00002562068,0.00007574965,0.7545033,0.0004666717,0.00003856901,0.0002217709,0.0246248,0.001264376,0.0006468639,0.001464455,0.2166057,0.00006208913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7536453,0.009596659,0.0008980199,0.03107229,0.0004108025,0.0002152312,0.01177642,0.0001145575,0.1922706],"genre_scores_gemma":[0.9082284,0.00822791,0.00105888,0.002556192,0.00005400883,0.00004356397,0.003737597,0.00003671968,0.0760568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07412792,"threshold_uncertainty_score":0.5378382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04225873374146433,"score_gpt":0.181030461855957,"score_spread":0.1387717281144926,"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."}}