{"id":"W4408460333","doi":"10.21083/ruralreview.v4i1.6039","title":"Mapping Food Waste Reclamation for a Circular Food Economy","year":2020,"lang":"en","type":"article","venue":"Rural Review Ontario Rural Planning Development and Policy","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Land reclamation; Circular economy; Food waste; Business; Environmental science; Agricultural economics; Waste management; Natural resource economics; Economics; Geography; Engineering; Ecology; Archaeology; Biology","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":[0.0004774004,0.0002193979,0.0001196873,0.001071953,0.0005634897,0.001438619,0.0004668777,0.0004461488,0.00278183],"category_scores_gemma":[0.0009951271,0.0001869126,0.0003395459,0.001693152,0.0003743395,0.0008579154,0.0005887064,0.0003062323,0.0002771679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003734531,"about_ca_system_score_gemma":0.00458118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.417826,"about_ca_topic_score_gemma":0.6163438,"domain_scores_codex":[0.9998012,0.00004471037,0.000007116615,0.000036956,0.00007242378,0.00003756426],"domain_scores_gemma":[0.9996216,0.00009573431,0.00004958036,0.00003137652,0.0001729711,0.00002867686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004348394,0.000260516,0.3456193,0.0008330306,0.0001128598,0.0008915219,0.004279069,0.3629521,0.01667977,0.03526457,0.01713123,0.2155412],"study_design_scores_gemma":[0.00007070001,0.0002302758,0.2834539,0.0003672021,0.0001448228,0.0002612447,0.0122853,0.6176507,0.01255447,0.009172116,0.06369228,0.0001170381],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8991235,0.0003737636,0.05351661,0.001216058,0.00003372041,0.0005069659,0.007137406,0.0006054576,0.03748648],"genre_scores_gemma":[0.9479603,0.0002399541,0.04594659,0.00002831624,0.000002110759,0.0001180419,0.001380922,0.00004245471,0.004281183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.417826,"threshold_uncertainty_score":0.830788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04741873136155231,"score_gpt":0.2526441650166412,"score_spread":0.2052254336550889,"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."}}