{"id":"W4386893171","doi":"10.1007/978-3-031-32338-6_13","title":"Hub Location Models Under Uncertainty","year":2023,"lang":"en","type":"book-chapter","venue":"International series in management science/operations research/International series in operations research & management science","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Robust optimization; Computer science; Mathematical optimization; Mathematics","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":["metaepi_narrow","bibliometrics","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.02016347,0.0007596427,0.0005346221,0.01576106,0.00273016,0.004577325,0.007855946,0.0003020673,0.001202073],"category_scores_gemma":[0.001032023,0.0008519003,0.0001355046,0.008629835,0.006828799,0.008734426,0.004506332,0.002167639,0.0007993591],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008157711,"about_ca_system_score_gemma":0.000802277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005539334,"about_ca_topic_score_gemma":0.005675637,"domain_scores_codex":[0.9823114,0.0003519072,0.001861321,0.002505004,0.01086337,0.002107028],"domain_scores_gemma":[0.9930406,0.0002960288,0.00008222393,0.001806708,0.004363388,0.0004110372],"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":[0.00003615955,0.00006773863,0.00001628643,0.0000720252,0.00006106934,0.00006533399,0.0003499097,0.5280394,0.0001297828,0.4688691,0.0007149429,0.001578298],"study_design_scores_gemma":[0.0007498312,0.00008494767,0.0008140765,0.0008641534,0.00001414279,0.00001838189,0.003469773,0.9137828,0.0001459499,0.05707192,0.02208283,0.0009011358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001526741,0.0001183945,0.02479099,0.01011926,0.005095548,0.004458521,0.0001905279,0.0006596782,0.9530404],"genre_scores_gemma":[0.2119232,0.01293177,0.0479571,0.0001941376,0.0005509247,0.002609344,0.0007782405,0.0003090247,0.7227463],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4117971,"threshold_uncertainty_score":0.9999787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1108916427717396,"score_gpt":0.4179775263247292,"score_spread":0.3070858835529895,"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."}}