{"id":"W2198115879","doi":"10.15353/cfs-rcea.v6i1.264","title":"Gleaning in the 21st Century: Urban food recovery and community food security in Ontario, Canada","year":2019,"lang":"en","type":"article","venue":"Canadian Food Studies / La Revue canadienne des études sur l alimentation","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Food security; Sustainability; Business; Food systems; Environmental planning; Environmental resource management; Political science; Geography; Agriculture; Economics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006051695,0.000174782,0.0002390102,0.0007676068,0.01059997,0.002486478,0.0009336771,0.0004826224,0.005143989],"category_scores_gemma":[0.001072436,0.0001973899,0.0002028954,0.00291342,0.003087133,0.0009372432,0.002521958,0.0008002846,0.0001629025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0978589,"about_ca_system_score_gemma":0.1301918,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973803,"about_ca_topic_score_gemma":0.9995915,"domain_scores_codex":[0.9991243,0.0001149228,0.00001593255,0.0000596317,0.0001639235,0.0005212941],"domain_scores_gemma":[0.9985422,0.0001267399,0.0001407002,0.00004009661,0.0003533602,0.000796848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003421171,0.0004681831,0.4382862,0.0008715994,0.00008709256,0.003060407,0.2703337,0.001198562,0.001822748,0.04042636,0.05820347,0.1848995],"study_design_scores_gemma":[0.00001949458,0.0000583563,0.6064597,0.000378837,0.00002239733,0.0001503396,0.2686963,0.0004041998,0.0002233383,0.001326752,0.1222072,0.00005300082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385125,0.002548744,0.000265715,0.01117554,0.00005195983,0.0001080808,0.0008351681,0.00002026302,0.04648202],"genre_scores_gemma":[0.9842554,0.001607309,0.0003418154,0.0005226091,0.000006807331,0.00003062135,0.0002307062,0.00000853649,0.01299618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0978589,"threshold_uncertainty_score":0.7100194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345516540962566,"score_gpt":0.1862613269469945,"score_spread":0.1628061615373688,"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."}}