{"id":"W3176918042","doi":"10.1016/j.cie.2021.107510","title":"An optimization approach for sustainable and resilient supply chain design with regional considerations","year":2021,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Supply chain; Business; Computer science; Risk analysis (engineering); Engineering; Manufacturing 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002888932,0.0001689456,0.000170309,0.0002083634,0.0002500249,0.000559536,0.00009587016,0.00007875987,0.00001438405],"category_scores_gemma":[0.00008916984,0.0001593197,0.00003039104,0.000341597,0.00003107915,0.0007694731,0.00007429475,0.0001082704,4.446572e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004301033,"about_ca_system_score_gemma":0.00006626552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004764578,"about_ca_topic_score_gemma":0.00000163568,"domain_scores_codex":[0.9989802,0.0000130933,0.0001827311,0.0003547656,0.0001606263,0.0003086091],"domain_scores_gemma":[0.999419,0.0001019149,0.00006732251,0.0001854643,0.0001969519,0.00002929483],"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":[0.00003744175,0.00005081043,0.0001850913,0.00006471909,0.0000284071,0.00002829496,0.00004621553,0.9724025,0.00003664797,0.02291728,0.003601078,0.0006014932],"study_design_scores_gemma":[0.001242633,0.00004101606,0.00008667698,0.00003862994,0.00004359422,0.00000993113,0.0008181949,0.9930403,0.00007915337,0.0001050109,0.004266454,0.0002284327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006640589,0.00007302104,0.9915704,0.000584353,0.0001423411,0.0007405884,8.890611e-7,0.0001239634,0.0001238915],"genre_scores_gemma":[0.6398415,0.0000200577,0.355774,0.001006529,0.002476973,0.0002529731,0.0003060585,0.00007229388,0.0002496549],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6357964,"threshold_uncertainty_score":0.6496871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03008786313035437,"score_gpt":0.2109281590512774,"score_spread":0.1808402959209231,"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."}}