{"id":"W4403922183","doi":"10.1080/02331934.2024.2422040","title":"Optimal control of a queueing system","year":2024,"lang":"en","type":"article","venue":"Optimization","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Queueing theory; Mathematics; Layered queueing network; Queueing system; Mathematical optimization; Control (management); Applied mathematics; Computer science; Statistics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002433121,0.00007908256,0.000131971,0.000217947,0.00005401339,0.0001214534,0.00007898733,0.00003342532,0.0001211526],"category_scores_gemma":[0.00005665963,0.00007410731,0.00006410378,0.0005092833,0.00001999782,0.0007909818,0.0000248181,0.00004448654,0.00006038877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002942122,"about_ca_system_score_gemma":0.000008169522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002994239,"about_ca_topic_score_gemma":0.000001254267,"domain_scores_codex":[0.9994435,0.000009234835,0.0001902939,0.0001506357,0.0001093119,0.00009696846],"domain_scores_gemma":[0.999653,0.00003800113,0.00009408517,0.0001161057,0.00009474381,0.000004024908],"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":[0.00001478957,0.000006073706,0.00005259622,0.0002450169,0.00003273251,0.000004964493,0.00001389298,0.8797413,0.000157703,0.1190388,0.00004843685,0.0006437082],"study_design_scores_gemma":[0.0001331193,0.000002454045,0.000004915781,0.0001601374,0.0001237551,0.000001044102,0.0001103546,0.9977589,0.00004984697,0.0001769957,0.001401922,0.00007658377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004355941,0.0001846011,0.985108,0.0001384313,0.000201282,0.00009886368,0.000001568318,0.000297075,0.009614214],"genre_scores_gemma":[0.9925168,0.000002611504,0.006871969,0.000068832,0.0003270802,0.000008816274,0.00001803734,0.00002137202,0.0001644547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9881609,"threshold_uncertainty_score":0.3022008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005509324901175521,"score_gpt":0.2069890211312899,"score_spread":0.2014796962301144,"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."}}