{"id":"W3016767801","doi":"10.1111/cjag.12227","title":"Food security and Canada's agricultural system challenged by COVID‐19","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":245,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Food security; Food supply; Agriculture; Food systems; Shock (circulatory); Food insecurity; Food chain; Supply chain; Coronavirus disease 2019 (COVID-19); Economics; Business; Agricultural economics; Geography; Marketing; Disease; 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","sts"],"consensus_categories":[],"category_scores_codex":[0.0004636581,0.0004178966,0.0009377611,0.0001406511,0.001621851,0.0000755576,0.0005670827,0.0003475333,0.0003452783],"category_scores_gemma":[0.0003515998,0.0003594984,0.0001705128,0.0001436273,0.0001251851,0.000494817,0.00005943005,0.001001758,0.00002869529],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006977635,"about_ca_system_score_gemma":0.006969209,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8795728,"about_ca_topic_score_gemma":0.9995261,"domain_scores_codex":[0.9963648,0.0002464254,0.001573069,0.0004906022,0.00003749983,0.001287579],"domain_scores_gemma":[0.9895791,0.0002884539,0.001204747,0.0001940425,0.0003367394,0.008396882],"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":[0.0003631978,0.00003550361,0.04127027,0.003355551,0.001077809,0.0002586781,0.07602775,0.002006939,0.00003682084,0.2156069,0.6596591,0.0003014555],"study_design_scores_gemma":[0.004976052,0.002276913,0.0912307,0.000452244,0.0003064894,0.0009158491,0.2720192,0.0003252227,0.0000128805,0.001281374,0.6242843,0.001918814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9308513,0.001156145,0.000001983839,0.06090303,0.001835799,0.0006593107,0.002228081,0.00002672341,0.002337615],"genre_scores_gemma":[0.9927082,0.0001345221,0.00004050743,0.005403097,0.001379957,0.00002580431,0.0001610492,0.0000262991,0.0001205453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2143256,"threshold_uncertainty_score":0.9998857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08843677912866765,"score_gpt":0.255931999719296,"score_spread":0.1674952205906284,"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."}}