{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005791465,0.0003369641,0.0009729703,0.0005011085,0.0002026511,0.0002228721,0.0004346348,0.0001532732,0.0005817936],"category_scores_gemma":[0.001050981,0.0003777615,0.0001491595,0.000301382,0.00009124439,0.0007342293,0.00004192095,0.0004525576,0.00001631026],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01553057,"about_ca_system_score_gemma":0.01871381,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9551119,"about_ca_topic_score_gemma":0.9998651,"domain_scores_codex":[0.9968239,0.00003167369,0.001560617,0.0005543586,0.000009934677,0.0010195],"domain_scores_gemma":[0.9947439,0.000129366,0.001020315,0.000259635,0.0001206187,0.00372612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004777111,0.00004134227,0.841893,0.0005925887,0.000368486,0.001247244,0.006998396,0.02308984,0.00003332596,0.1090068,0.01124832,0.005432957],"study_design_scores_gemma":[0.003203952,0.0002868003,0.7375835,0.0001747697,0.000043197,0.004114076,0.007310261,0.0008392562,0.0000481426,0.02726442,0.217542,0.001589612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782763,0.005567252,0.00001768905,0.01261018,0.00103848,0.0001636735,0.000481374,0.000005092149,0.00184002],"genre_scores_gemma":[0.9949428,0.0002451284,0.0001608749,0.003923018,0.0003112861,0.000006844033,0.00003080995,0.00003013262,0.0003490513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2062937,"threshold_uncertainty_score":0.9998674,"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."}}