{"id":"W2799998274","doi":"10.1108/sbr-12-2017-0115","title":"Regulating Ontario’s circular economy through food waste legislation","year":2018,"lang":"en","type":"article","venue":"Society and Business Review","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Legislation; Food waste; Value (mathematics); Business; Circular economy; Government (linguistics); Cognitive reframing; Modernization theory; Public administration; Economics; Political science; Economic growth; Law; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01278282,0.0002515784,0.0004215926,0.001745892,0.005819838,0.005123965,0.00172521,0.002446228,0.002955533],"category_scores_gemma":[0.02278056,0.0003068949,0.0004164211,0.00276509,0.00711508,0.00161792,0.001599143,0.001485241,0.0003424444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1120084,"about_ca_system_score_gemma":0.2539467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9495591,"about_ca_topic_score_gemma":0.972939,"domain_scores_codex":[0.9841737,0.003124842,0.0006507679,0.0007215149,0.009195562,0.002133653],"domain_scores_gemma":[0.9662261,0.008088918,0.002463414,0.001327059,0.02041377,0.001480658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002011898,0.00005445643,0.01245419,0.006293911,0.0001852713,0.001008202,0.01565471,0.003769766,0.003165437,0.513159,0.2744478,0.1696061],"study_design_scores_gemma":[0.00002894694,0.00002828599,0.01139453,0.001798526,0.00008366846,0.0000601291,0.002704885,0.000271433,0.0008787374,0.006602461,0.9761074,0.00004095228],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0692525,0.146424,0.004789173,0.2163953,0.002774895,0.0007378526,0.001586652,0.000140821,0.557899],"genre_scores_gemma":[0.7863862,0.09664478,0.005308291,0.0246803,0.0006797111,0.0003345004,0.0008108427,0.00006397677,0.08509132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1120084,"threshold_uncertainty_score":0.8126819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03786608951312868,"score_gpt":0.238759050594836,"score_spread":0.2008929610817073,"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."}}