{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001178884,0.001210345,0.001127538,0.0004632226,0.0006116579,0.001874718,0.001052598,0.001279718,0.002109687],"category_scores_gemma":[0.002335893,0.000419843,0.0004635135,0.0004380193,0.001823322,0.0008982089,0.00128171,0.001096805,0.0001910615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0027712,"about_ca_system_score_gemma":0.002191433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02006231,"about_ca_topic_score_gemma":0.006228501,"domain_scores_codex":[0.9990668,0.0003421619,0.00002927845,0.000215244,0.0001404172,0.0002060801],"domain_scores_gemma":[0.9991173,0.0004744713,0.0001259843,0.00003248989,0.0001584411,0.00009135666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007235465,0.00005388933,0.0002112797,0.00005168631,0.00002027989,0.00006567992,0.00004665971,0.9608701,0.001778329,0.03242014,0.0005006313,0.003908879],"study_design_scores_gemma":[0.00001730186,0.00003353861,0.00005780501,0.00000321608,0.000005019488,0.000002844391,0.000007358311,0.99506,0.0001131502,0.004517723,0.0001771303,0.000004794752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1279331,0.001089292,0.8471383,0.001598225,0.0002160414,0.00011296,0.0001777739,0.0003098773,0.02142446],"genre_scores_gemma":[0.9819797,0.0003176205,0.01309123,0.00008290874,0.00006919065,0.00006616028,0.00004378854,0.00001891136,0.004330547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02006231,"threshold_uncertainty_score":0.03989112,"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."}}