{"id":"W3158303415","doi":"10.1111/cjag.12284","title":"Re‐examining the implications of COVID‐19 on the Canadian dairy and poultry sectors","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":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Hospitality; Business; Upstream (networking); Supply chain; Coronavirus disease 2019 (COVID-19); Downstream (manufacturing); Agricultural economics; Dairy industry; Poultry farming; Agribusiness; Agricultural science; Marketing; Economics; Tourism; Food science; Agriculture; Disease; Geography; Veterinary medicine; Environmental science; Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.001258187,0.0003181603,0.0006965598,0.0004692883,0.0008022647,0.0002894488,0.0008168765,0.0002095933,0.0008362487],"category_scores_gemma":[0.001718949,0.0002424023,0.0002413262,0.0003307617,0.0003027078,0.0003484293,0.00004049853,0.0005783844,0.00004373888],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004459,"about_ca_system_score_gemma":0.004323658,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5147419,"about_ca_topic_score_gemma":0.9917418,"domain_scores_codex":[0.9973009,0.00006981366,0.001301305,0.0004625785,0.00001195178,0.000853505],"domain_scores_gemma":[0.9946899,0.0007798623,0.001216309,0.0006013634,0.0001850447,0.002527554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002662918,0.00002359409,0.3179168,0.00008819401,0.0006998706,0.00009036425,0.01090214,0.007871411,0.00004481274,0.625528,0.03582249,0.0009857015],"study_design_scores_gemma":[0.000956826,0.000266749,0.7168307,0.00008930092,0.00007783513,0.0009708611,0.01697326,0.00009551611,0.00005929367,0.03248255,0.2304055,0.0007916879],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9036032,0.001093319,0.000006275203,0.08584049,0.0008602956,0.0002507491,0.0009136564,0.000005128489,0.007426872],"genre_scores_gemma":[0.991148,0.0001893873,0.00004639286,0.007497195,0.0004145933,0.00001318705,0.00003858857,0.00002952158,0.0006231148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5930454,"threshold_uncertainty_score":0.9993627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08267117268624617,"score_gpt":0.210196917534261,"score_spread":0.1275257448480148,"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."}}