{"id":"W4280543167","doi":"10.1007/s11356-022-20713-0","title":"Viable closed-loop supply chain network by considering robustness and risk as a circular economy","year":2022,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Robustness (evolution); Circular economy; Supply chain network; Automotive industry; Supply chain; Mathematical optimization; Computer science; Mathematics; Supply chain management; Engineering; Business; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004143545,0.0001468189,0.0001385114,0.000336042,0.003870829,0.0004967799,0.0003700115,0.00003178866,0.001280058],"category_scores_gemma":[0.00005593527,0.0001436617,0.00002710385,0.000896118,0.001258687,0.001029316,0.00151253,0.0003493869,0.0000734759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002294447,"about_ca_system_score_gemma":0.00005083783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001656793,"about_ca_topic_score_gemma":0.00001689122,"domain_scores_codex":[0.9973838,0.00007778475,0.0001881968,0.0006174687,0.00096054,0.0007722341],"domain_scores_gemma":[0.9995436,0.00004676413,0.00008811116,0.0002359357,0.00001738917,0.0000681769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002063837,0.0006173233,0.7250799,0.0002148116,0.00009814405,0.0001415095,0.0007663384,0.06177858,0.01715312,0.01876724,0.0949441,0.08023258],"study_design_scores_gemma":[0.001187422,0.0001423145,0.05689728,0.00002190376,0.00003475815,0.00002937302,0.01329576,0.07868896,0.0003800835,0.004660018,0.8440506,0.0006114937],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912727,0.001246006,0.00006742207,0.001868857,0.0001240164,0.0005558687,0.00001185995,0.00002976129,0.004823525],"genre_scores_gemma":[0.9969748,0.000685278,0.00003639759,0.001015485,0.0001853257,0.0001216553,0.00001516938,0.00001331499,0.0009525698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7491065,"threshold_uncertainty_score":0.9996329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463481721773519,"score_gpt":0.2431412072786208,"score_spread":0.2285063900608856,"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."}}