{"id":"W3204544826","doi":"10.1287/trsc.2021.1064","title":"Robust Stochastic Models for Profit-Maximizing Hub Location Problems","year":2021,"lang":"en","type":"article","venue":"Transportation Science","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Regret; Mathematical optimization; Stochastic programming; Robust optimization; Stochastic modelling; Revenue; Profit (economics); Computer science; Mathematics; Economics","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":[0.0006248378,0.0001175116,0.0001102007,0.0002049741,0.0003883538,0.0002250151,0.0002390368,0.00002687943,0.0001040614],"category_scores_gemma":[0.00008947832,0.0001226025,0.00004681525,0.001663118,0.0001056437,0.002506689,0.00001161198,0.00004812746,0.00006705725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003824228,"about_ca_system_score_gemma":0.0001297289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002038286,"about_ca_topic_score_gemma":0.0009429393,"domain_scores_codex":[0.9984624,0.00000310952,0.0003351473,0.0004570916,0.0004660263,0.0002762515],"domain_scores_gemma":[0.9985503,0.00001097463,0.00008071399,0.0002297633,0.001108588,0.00001964455],"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":[0.000007983563,0.00002533512,0.0003396307,0.0002720619,0.000004173105,4.081156e-7,0.0002570244,0.888877,0.0008786016,0.1074093,0.000141131,0.001787377],"study_design_scores_gemma":[0.0004669069,0.000006013816,0.0138901,0.0000612518,0.00004630697,2.010132e-7,0.0008215139,0.9734384,0.0002651142,0.009423344,0.001327491,0.0002533526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07411125,0.00005163369,0.92115,0.001587141,0.0004683252,0.0006673394,0.000005276363,0.0001409294,0.001818159],"genre_scores_gemma":[0.9952943,0.00000386791,0.003123367,0.0006692543,0.0000929818,0.0001619813,0.000153788,0.0000112517,0.0004891466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9211831,"threshold_uncertainty_score":0.4999585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09763469457569629,"score_gpt":0.2582275736724757,"score_spread":0.1605928790967794,"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."}}