{"id":"W4400612448","doi":"10.1016/j.ejor.2024.07.013","title":"An exact method for trilevel hub location problem with interdiction","year":2024,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interdiction; Computer science; Mathematical optimization; Operations research; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001286232,0.0008991825,0.00206259,0.001092331,0.0008281667,0.001280458,0.003115469,0.002061699,0.01252198],"category_scores_gemma":[0.004164207,0.0007920932,0.001259236,0.001544941,0.0008703036,0.002327835,0.002056097,0.002329687,0.001151552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036048,"about_ca_system_score_gemma":0.00249148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01326879,"about_ca_topic_score_gemma":0.01360353,"domain_scores_codex":[0.9993662,0.0001857902,0.00003173131,0.0001160911,0.000180771,0.00011948],"domain_scores_gemma":[0.9977779,0.001450353,0.00009225454,0.0001831952,0.0003755944,0.0001206967],"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":[0.0001377966,0.0001572827,0.0004504332,0.0003167966,0.00006400283,0.0001344871,0.0001000856,0.8584757,0.001143883,0.03930558,0.006447394,0.09326646],"study_design_scores_gemma":[0.00002068261,0.00001600698,0.00004412315,0.000009819354,0.000007014217,0.00001730318,0.00001386758,0.9883464,0.00008484068,0.0107745,0.0006603245,0.000005056586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004729492,0.0003682286,0.989677,0.0001917059,0.0001631352,0.00007802111,0.0001108618,0.0001973321,0.00448421],"genre_scores_gemma":[0.2350317,0.0007107219,0.7502573,0.0003728246,0.0002878332,0.0004740017,0.0004524966,0.000339016,0.01207424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01326879,"threshold_uncertainty_score":0.0418902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1198946285041842,"score_gpt":0.3961954654038591,"score_spread":0.2763008368996749,"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."}}