{"id":"W3154348190","doi":"10.5304/jafscd.2021.102.051","title":"A systems approach to navigating food security during COVID-19: Gaps, opportunities, and policy supports","year":2021,"lang":"en","type":"article","venue":"Journal of Agriculture Food Systems and Community Development","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Balsillie School of International Affairs; University of Waterloo; University of Guelph","funders":"","keywords":"Food systems; Food security; Food waste; Food distribution; Business; Redistribution (election); Sustainability; Reciprocity (cultural anthropology); Government (linguistics); Resilience (materials science); Political science; Sociology; Agriculture; Engineering; Geography; Politics","routes":{"ca_aff":true,"ca_fund":false,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001542552,0.0002612109,0.000537097,0.00003965018,0.001418084,0.0003833639,0.0002422903,0.0001631246,0.00000349262],"category_scores_gemma":[0.0002977157,0.0001105198,0.00008889873,0.000478277,0.00005660684,0.0002015065,0.0003035344,0.0007659583,1.965319e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003381358,"about_ca_system_score_gemma":0.0003569546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007331727,"about_ca_topic_score_gemma":0.0003652745,"domain_scores_codex":[0.9971081,0.001070133,0.0008178765,0.0002150039,0.0004450844,0.0003437731],"domain_scores_gemma":[0.9978514,0.0001549802,0.0004304224,0.0001099171,0.0005916301,0.0008615981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001656165,0.01737668,0.05741286,0.03718844,0.007156938,0.00118616,0.5569159,0.003915053,0.119826,0.04560308,0.02635624,0.1254065],"study_design_scores_gemma":[0.0006428833,0.001485733,0.0393635,0.0005362601,0.00003876683,0.008314332,0.8587815,0.000009286975,0.0006370074,0.0001460405,0.0894688,0.0005759275],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933534,0.003185695,0.00001091666,0.00249481,0.0001952184,0.0003577548,0.00003722594,0.00002951524,0.0003355157],"genre_scores_gemma":[0.9989413,0.0002187565,0.0001209904,0.0001694115,0.0003040241,0.000023076,0.00004328988,0.000002101903,0.0001770761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3018656,"threshold_uncertainty_score":0.9998819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04065696187245833,"score_gpt":0.2544232666667044,"score_spread":0.2137663047942461,"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."}}