{"id":"W3189532280","doi":"10.3390/su13158656","title":"A Methodological Approach to Designing Circular Economy Indicators for Agriculture: An Application to the Egg Sector","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; Université Laval","funders":"Egg Farmers of Canada","keywords":"Circular economy; Agriculture; Reuse; Production (economics); Environmental economics; Product (mathematics); Performance indicator; Resource (disambiguation); Economic indicator; Business; Resource efficiency; Environmental resource management; Computer science; Environmental science; Engineering; Economics; Mathematics; Ecology; Marketing; Waste management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003980203,0.0002888036,0.000345211,0.0002669102,0.0005401737,0.0005379528,0.0006836253,0.000122769,0.00004082695],"category_scores_gemma":[0.003864303,0.0002148723,0.0001720734,0.002023886,0.00005701469,0.0005554293,0.0005804843,0.0001793339,0.0000237075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00085628,"about_ca_system_score_gemma":0.0001777186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002309884,"about_ca_topic_score_gemma":0.00002746853,"domain_scores_codex":[0.9973975,0.0002178904,0.0003865455,0.001059594,0.0002453389,0.0006931204],"domain_scores_gemma":[0.9972736,0.0002642303,0.000155158,0.0009660948,0.001265885,0.00007507666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004893192,0.002357645,0.04484288,0.008319017,0.0003627954,0.0000449694,0.004045261,0.08926772,0.0009717703,0.7268813,0.03823279,0.08418459],"study_design_scores_gemma":[0.0004643002,0.00004425267,0.02658516,0.000005563616,0.0001260839,0.000002189037,0.02979335,0.004509928,0.0003450603,0.08363044,0.8539134,0.0005802636],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06097171,0.00005583153,0.9146523,0.01408551,0.000119473,0.00626064,0.000003548372,0.0002433504,0.003607658],"genre_scores_gemma":[0.9672614,3.443435e-7,0.01915415,0.007638299,0.001071461,0.004390453,0.0001319192,0.00003923546,0.0003127927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9062896,"threshold_uncertainty_score":0.8762237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04437710522417401,"score_gpt":0.2875267386696892,"score_spread":0.2431496334455152,"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."}}