{"id":"W4316371207","doi":"10.1111/rsp3.12633","title":"The impact of COVID‐19 on agricultural market integration in Eastern Canada","year":2023,"lang":"en","type":"article","venue":"Regional Science Policy & Practice","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Agriculture; Commodity; Cointegration; Market integration; Pandemic; Order (exchange); Economics; Government (linguistics); Agricultural economics; Business; Coronavirus disease 2019 (COVID-19); International economics; Geography; Market economy; Macroeconomics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0008306077,0.0002103523,0.0003571972,0.0009915852,0.002251924,0.002459802,0.0006959706,0.0003519816,0.003200104],"category_scores_gemma":[0.004582352,0.0001679119,0.000385566,0.002403611,0.00136412,0.0007627793,0.00149629,0.0008092846,0.0001085657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04771735,"about_ca_system_score_gemma":0.04423418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939254,"about_ca_topic_score_gemma":0.9938697,"domain_scores_codex":[0.9989098,0.0001019809,0.00002094567,0.00008381369,0.0001967316,0.0006867003],"domain_scores_gemma":[0.9980672,0.0003366278,0.0002732009,0.00008376576,0.0008083545,0.0004308823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005562138,0.000250217,0.8506599,0.0000986936,0.0002576955,0.001820908,0.004300816,0.03155698,0.001366789,0.0524218,0.008858454,0.04785139],"study_design_scores_gemma":[0.00003062899,0.00004111728,0.9496411,0.00003747013,0.00006988271,0.00006549864,0.009183486,0.02698284,0.000465483,0.0036445,0.00979174,0.0000462219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983563,0.0004152058,0.0003506113,0.001528377,0.000008290335,0.00002128857,0.0007756667,0.00001418344,0.01332331],"genre_scores_gemma":[0.998017,0.0001991538,0.0001322402,0.00006445943,0.000002236747,0.000003533866,0.000215362,0.000003588725,0.001362346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04771735,"threshold_uncertainty_score":0.3462152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08266876214337797,"score_gpt":0.3628315714457965,"score_spread":0.2801628093024185,"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."}}