{"id":"W3019686121","doi":"10.1111/cjag.12241","title":"Economic thoughts on COVID‐19 for Canadian food processors","year":2020,"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":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Food processing; Government (linguistics); Pandemic; Food supply; 2019-20 coronavirus outbreak; Economic impact analysis; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Economics; Agricultural economics; Microeconomics; Political science; Virology; 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":[0.0008438844,0.0006634475,0.001470221,0.001030471,0.0006124682,0.000416166,0.001382971,0.000400941,0.0007062716],"category_scores_gemma":[0.001387321,0.0007122834,0.0006854996,0.0002470142,0.0001680258,0.0009586393,0.00003001463,0.0005749991,0.000548894],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01241526,"about_ca_system_score_gemma":0.006478699,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.255217,"about_ca_topic_score_gemma":0.9787766,"domain_scores_codex":[0.9950125,0.00003284035,0.002115975,0.0009857855,0.0000129852,0.001839926],"domain_scores_gemma":[0.9867522,0.0003192931,0.00173895,0.0004206433,0.0001417204,0.01062716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005561523,0.00006512414,0.04442,0.0006912473,0.00204053,0.0002214823,0.01825033,0.1477373,0.00002261307,0.5843933,0.1998038,0.001798148],"study_design_scores_gemma":[0.003378294,0.002305662,0.01457255,0.00006742006,0.00007991296,0.0003718829,0.001607746,0.001139814,0.00009026626,0.02838979,0.9462692,0.001727461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9239038,0.0007865856,0.0001012448,0.06235039,0.002924499,0.0009943163,0.005014344,0.00002940265,0.003895472],"genre_scores_gemma":[0.9800264,0.0000946712,0.0002545858,0.01516661,0.003664318,0.00005043838,0.000135042,0.00009458111,0.0005133799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7464654,"threshold_uncertainty_score":0.9995328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07481915814296115,"score_gpt":0.2078671928744183,"score_spread":0.1330480347314571,"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."}}