{"id":"W3121744846","doi":"10.3390/su13031325","title":"City Region Food Systems: Building Resilience to COVID-19 and Other Shocks","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"CRFS; Food systems; Sustainability; Context (archaeology); Resilience (materials science); Food security; Psychological resilience; Agriculture; Environmental planning; Business; Environmental resource management; Geography; Computer science; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002143017,0.0005552507,0.0003099904,0.001170736,0.004159144,0.005985523,0.001520925,0.001808319,0.007554885],"category_scores_gemma":[0.002162071,0.0002169123,0.0005068113,0.0018797,0.006473333,0.004198865,0.009217357,0.002092058,0.0006367001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01039496,"about_ca_system_score_gemma":0.006514309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04528347,"about_ca_topic_score_gemma":0.07622414,"domain_scores_codex":[0.9987279,0.0005654976,0.00002768129,0.0001312615,0.0001152621,0.000432398],"domain_scores_gemma":[0.9992076,0.0001894261,0.0001244896,0.0001206799,0.0001475305,0.0002102873],"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":[0.0001713467,0.0001585239,0.02592354,0.00178618,0.0001591671,0.003490933,0.06636425,0.03249504,0.002719159,0.6487538,0.04947297,0.1685051],"study_design_scores_gemma":[0.00002775886,0.0002407635,0.03462047,0.001331714,0.00005240188,0.0007392976,0.1025009,0.006460099,0.001362886,0.1354184,0.7171183,0.000126967],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.365527,0.01830105,0.05310167,0.1026044,0.001237247,0.0005255745,0.001217094,0.0008198995,0.4566661],"genre_scores_gemma":[0.9673322,0.00739243,0.01280244,0.002373062,0.0001067487,0.0001581428,0.0003549004,0.00009816361,0.009381879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04528347,"threshold_uncertainty_score":0.09003979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02558432804785723,"score_gpt":0.2622428473068419,"score_spread":0.2366585192589847,"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."}}