{"id":"W4296050767","doi":"10.1016/j.ugj.2022.09.004","title":"Reflecting on COVID-19 for integrated perspectives on local and regional food systems vulnerabilities","year":2022,"lang":"en","type":"article","venue":"Urban Governance","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University; University of the Fraser Valley","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Food systems; Food security; Business; Resilience (materials science); Psychological resilience; Local government; Corporate governance; Flexibility (engineering); Vulnerability (computing); Environmental planning; Citizen journalism; Environmental resource management; Political science; Geography; Economics; Agriculture; Public administration","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01541589,0.0009055548,0.0006778687,0.001493216,0.02463747,0.01647241,0.003694976,0.006324859,0.01815417],"category_scores_gemma":[0.01335962,0.0006209005,0.0008904333,0.003287372,0.01759673,0.008563458,0.0167481,0.01082419,0.001676156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06223671,"about_ca_system_score_gemma":0.1197702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7783676,"about_ca_topic_score_gemma":0.9023783,"domain_scores_codex":[0.9892867,0.004980956,0.0002087159,0.0005629411,0.002013,0.002947665],"domain_scores_gemma":[0.9866757,0.005326224,0.0004746985,0.0007318151,0.003217328,0.003574282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000368132,0.00008106797,0.005450799,0.0007008777,0.00004132953,0.002850903,0.505286,0.001841282,0.002094715,0.1492859,0.2845639,0.04776643],"study_design_scores_gemma":[0.000006022636,0.00001761504,0.002047598,0.0008094719,0.00001220025,0.000299269,0.2861822,0.0003121381,0.0003191654,0.01525346,0.6946794,0.00006139487],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0593555,0.01161464,0.01848416,0.63385,0.003724254,0.0007196499,0.002178329,0.0003280254,0.2697455],"genre_scores_gemma":[0.7314683,0.01680165,0.04931402,0.09585506,0.0007311784,0.001203995,0.001689329,0.0007263759,0.1022102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7783676,"threshold_uncertainty_score":0.451561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04669977421868844,"score_gpt":0.2665594597336125,"score_spread":0.2198596855149241,"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."}}