{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008291546,0.0002319953,0.0003148306,0.00001631131,0.0005045852,0.000183438,0.0002644165,0.0001750497,0.00007476074],"category_scores_gemma":[0.004797008,0.00009674949,0.0001073226,0.0008651182,0.0001743945,0.0001609995,0.0003101099,0.0001942925,0.000001847356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009854501,"about_ca_system_score_gemma":0.0002461555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0012632,"about_ca_topic_score_gemma":0.001794239,"domain_scores_codex":[0.9974378,0.000446757,0.0003408543,0.0009106633,0.0002934441,0.0005705243],"domain_scores_gemma":[0.9977836,0.0004594652,0.00007837457,0.0002419302,0.0008360549,0.0006005843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001525738,0.000332868,0.9599403,0.0005166826,0.00002700201,0.0001245585,0.001318297,0.0001700027,0.003753785,0.01676003,0.004143392,0.01276056],"study_design_scores_gemma":[0.0002708701,0.0006110609,0.4860227,0.00002326035,0.00002804859,0.0001126857,0.02098831,0.00003365453,0.0007654629,0.02883692,0.4616662,0.0006408224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840835,0.0005597386,0.0002883484,0.01351377,0.00009318431,0.0008484258,0.000029781,0.0001460555,0.0004371952],"genre_scores_gemma":[0.996632,0.000005459946,0.00005989069,0.001631554,0.0001701676,0.00007649409,0.000006981046,0.000001386592,0.001416035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4739176,"threshold_uncertainty_score":0.5742813,"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."}}