{"id":"W3017078708","doi":"10.1111/cjag.12231","title":"COVID‐19 impact on fruit and vegetable markets","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":317,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Purchasing; Closure (psychology); Business; Supply chain; Distribution (mathematics); Agricultural economics; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Immigration; Agricultural science; Economics; Marketing; Geography; Market economy; Disease; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002987632,0.0004047316,0.0007028207,0.0003582302,0.0003649686,0.0005230276,0.0004737776,0.0001068232,0.00106689],"category_scores_gemma":[0.0003835366,0.0003255784,0.0002864508,0.0001884344,0.0001299906,0.001178051,0.00006316866,0.0003411219,0.0001556865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137178,"about_ca_system_score_gemma":0.00071341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05225283,"about_ca_topic_score_gemma":0.6130672,"domain_scores_codex":[0.9981194,0.00001521797,0.0006852077,0.0004021818,0.00001969387,0.0007583547],"domain_scores_gemma":[0.9974469,0.0000877563,0.0006773487,0.0001706208,0.0001640011,0.00145337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004308186,0.00003831872,0.8957232,0.0004151913,0.001065861,0.0007843896,0.001627961,0.002765939,0.0001262093,0.02683719,0.05281399,0.01737088],"study_design_scores_gemma":[0.00132367,0.0001762841,0.7355747,0.00005689996,0.0002360672,0.0003385558,0.001316785,0.000214137,0.000007059734,0.0005391663,0.2594524,0.0007642984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701404,0.0004960502,9.832082e-7,0.02456326,0.0006662246,0.0002429415,0.00007975369,0.00001772005,0.00379267],"genre_scores_gemma":[0.9935448,0.00005211632,0.00002478072,0.005108842,0.001007749,0.000006790719,0.00002460604,0.00003113697,0.0001991438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5608143,"threshold_uncertainty_score":0.9999197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03859730556930632,"score_gpt":0.1911706690552595,"score_spread":0.1525733634859531,"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."}}