{"id":"W4376873776","doi":"10.1287/opre.2023.2472","title":"The Generalized <i>c</i>/<i>μ</i> Rule for Queues with Heterogeneous Server Pools","year":2023,"lang":"en","type":"article","venue":"Operations Research","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Queue; Computer science; Routing (electronic design automation); Computer network; Queueing theory; Priority queue; Mathematical optimization; Zhàng; Service (business); Distributed computing; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001923063,0.0001096042,0.0001209736,0.0002480781,0.002628778,0.001032479,0.0003969357,0.00003607686,0.00008830942],"category_scores_gemma":[0.0004311934,0.00006972437,0.00006880358,0.001574454,0.0001502376,0.0005859259,0.0002043557,0.0001461164,0.0007215109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000344572,"about_ca_system_score_gemma":0.0000456782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003158141,"about_ca_topic_score_gemma":0.002443609,"domain_scores_codex":[0.9985224,0.00006773344,0.000176544,0.0002782551,0.0004227946,0.0005322458],"domain_scores_gemma":[0.9984858,0.0002856932,0.00002262487,0.0004560565,0.0007343026,0.0000155221],"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":[0.0002587771,0.00006009994,0.00027013,0.0000631677,0.0001648874,0.00001830176,0.0000856116,0.7202559,0.004041465,0.2503555,0.02085735,0.003568843],"study_design_scores_gemma":[0.001027185,0.000043875,0.00009155049,0.00003701158,0.00005821662,0.000003404987,0.0006635071,0.5529384,0.002308194,0.02780692,0.4146689,0.00035286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792194,0.0001642578,0.002747771,0.01176712,0.0001443637,0.001371176,0.00001649824,0.00039245,0.004177005],"genre_scores_gemma":[0.9636763,0.00009472024,0.001086623,0.0009413861,0.001145295,0.001398768,0.0002304338,0.00008521506,0.03134127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3938116,"threshold_uncertainty_score":0.9986697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06239426529479582,"score_gpt":0.3538627390942524,"score_spread":0.2914684737994566,"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."}}