{"id":"W4376274319","doi":"10.1016/j.eswa.2023.120423","title":"A robust optimization model for green supplier selection and order allocation in a closed-loop supply chain considering cap-and-trade mechanism","year":2023,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Allowance (engineering); Robustness (evolution); Supply chain; Computer science; Mathematical optimization; Closeness; Closed loop; Order (exchange); Operations research; Industrial organization; Microeconomics; Environmental economics; Business; Economics; Operations management; Mathematics; Engineering; Control engineering","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":[0.002312659,0.001755257,0.003721802,0.001032059,0.001028809,0.004142127,0.002769992,0.004698879,0.006367054],"category_scores_gemma":[0.003758646,0.001626826,0.001508531,0.001552824,0.002135683,0.002061715,0.002224626,0.002196613,0.0007417953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002767671,"about_ca_system_score_gemma":0.003024277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02613903,"about_ca_topic_score_gemma":0.01265607,"domain_scores_codex":[0.9985473,0.0003706937,0.00006100934,0.0004498609,0.0002934854,0.0002775449],"domain_scores_gemma":[0.9979326,0.001103205,0.0003406521,0.00007385611,0.0004349953,0.0001146104],"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":[0.00003955609,0.00001924369,0.00009442901,0.00004283859,0.00002358871,0.00006540744,0.00001957063,0.994463,0.0004128701,0.00333145,0.0002074737,0.001280477],"study_design_scores_gemma":[0.00001061212,0.00002080818,0.00005274031,0.00000407125,0.000009937075,0.000004932922,0.000006285922,0.9987302,0.00007429594,0.0009722322,0.0001076383,0.000006256175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04032479,0.000617456,0.9414099,0.0007542138,0.0001316254,0.0001864208,0.0004679725,0.000492393,0.01561523],"genre_scores_gemma":[0.9589008,0.000400947,0.02590237,0.0001348758,0.00004772608,0.0002708954,0.000312607,0.00008846688,0.01394123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02613903,"threshold_uncertainty_score":0.05197376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183108881732725,"score_gpt":0.2264086475103485,"score_spread":0.2045775586930213,"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."}}