{"id":"W3158401557","doi":"10.1111/cjag.12289","title":"Introduction to the special issue on COVID‐19 and the Canadian agriculture and food sectors: Thoughts one year into the pandemic","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":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Ministry of Agriculture, Food and Rural Affairs; University of Guelph","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Agriculture; 2019-20 coronavirus outbreak; Economic growth; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; Business; Development economics; Geography; Economics; Virology; Medicine; Outbreak; Infectious disease (medical specialty)","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":[0.005123211,0.002566071,0.002258252,0.005218784,0.005415112,0.01152251,0.003132454,0.01275989,0.04878869],"category_scores_gemma":[0.01531655,0.0007338403,0.00174571,0.004609362,0.00354881,0.005743002,0.003384047,0.01318631,0.0123475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01956285,"about_ca_system_score_gemma":0.03093884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3959024,"about_ca_topic_score_gemma":0.6164354,"domain_scores_codex":[0.9965417,0.0002500784,0.0001873851,0.0003128026,0.002013944,0.000694053],"domain_scores_gemma":[0.9796228,0.003585096,0.0009420027,0.0006547833,0.01100977,0.004185624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004313295,0.00000470052,0.00006826688,0.0000267261,0.000002108917,0.00001184278,0.00001484132,0.00001525978,0.00001070284,0.0006089635,0.9970709,0.002161357],"study_design_scores_gemma":[0.000006072921,0.000006059297,0.0009720177,0.0002443492,0.000008707822,0.00002365447,0.0001264766,0.00004128098,0.00001767406,0.001135075,0.9974002,0.00001851763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002505608,0.04359172,0.0003130141,0.3321666,0.5999387,0.00005325751,0.001816613,0.0001008511,0.02176878],"genre_scores_gemma":[0.004618139,0.05125436,0.0005524927,0.1394587,0.6836552,0.00009534868,0.001905994,0.0002881212,0.1181718],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.6040976,"threshold_uncertainty_score":0.787196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02808707165869583,"score_gpt":0.18585566758759,"score_spread":0.1577685959288941,"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."}}