{"id":"W3087837822","doi":"10.1007/978-3-030-66501-2_28","title":"An Environmentally Sustainable Closed-Loop Supply Chain Network Design Under Uncertainty: Application of Optimization","year":2021,"lang":"en","type":"preprint","venue":"Advances in intelligent systems and computing","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Supply chain; Environmentally friendly; Constraint (computer-aided design); Sustainable development; Closed loop; Genetic algorithm; Environmental economics; Business; Supply chain network; Computer science; Risk analysis (engineering); Supply chain management; Economics; Engineering; Control engineering; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00188065,0.001175185,0.001475796,0.0007442374,0.0007658081,0.001964206,0.0009857434,0.002183176,0.002825167],"category_scores_gemma":[0.004556174,0.0009143893,0.0009762778,0.000822015,0.001087272,0.001721378,0.001607324,0.001206943,0.000213075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001347109,"about_ca_system_score_gemma":0.002196951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005070401,"about_ca_topic_score_gemma":0.00364074,"domain_scores_codex":[0.9992262,0.0002859582,0.00002617303,0.0001792152,0.0001920853,0.00009021145],"domain_scores_gemma":[0.9986564,0.0008624856,0.0001408288,0.00004338537,0.0002452463,0.00005160072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002372115,0.00001217081,0.00006927594,0.00002659695,0.0000138733,0.00001616253,0.00001820178,0.9931825,0.0003914753,0.002804588,0.00008753317,0.003353922],"study_design_scores_gemma":[0.000007000781,0.00002377796,0.00002937844,0.000003992331,0.000007781447,0.00000398524,0.00000510735,0.9973047,0.0001693674,0.002304952,0.0001366628,0.000003226247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01998683,0.0002098366,0.9739281,0.0002983714,0.00003575023,0.00008854995,0.00007700158,0.0001123544,0.005263217],"genre_scores_gemma":[0.8715122,0.000339804,0.1233762,0.0001035939,0.00004916413,0.0002548745,0.000127552,0.00008986006,0.004146892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005070401,"threshold_uncertainty_score":0.01008177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085004306188811,"score_gpt":0.2395273548251652,"score_spread":0.2286773117632771,"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."}}