{"id":"W2946332541","doi":"10.1142/s0217595919500192","title":"Performance Analysis of Joining the Shortest Queue Model Among a Large Number of Queues","year":2019,"lang":"en","type":"article","venue":"Asia Pacific Journal of Operational Research","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Bulk queue; Queue; Queueing theory; Fork–join queue; Computer science; Multilevel queue; Mean value analysis; Queue management system; Set (abstract data type); Limiting; Mathematics; Computer network; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004959127,0.001256119,0.001855253,0.001226043,0.001520002,0.002780204,0.003288299,0.002164878,0.003306873],"category_scores_gemma":[0.01352902,0.0006849624,0.0008282469,0.001133137,0.002276933,0.003314331,0.00208044,0.002085786,0.0004642099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003824477,"about_ca_system_score_gemma":0.002897817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237725,"about_ca_topic_score_gemma":0.004368575,"domain_scores_codex":[0.9976614,0.0009552439,0.00004797698,0.00032018,0.0004401375,0.000575104],"domain_scores_gemma":[0.9896728,0.006278432,0.0009038789,0.0003828643,0.001494772,0.001267349],"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":[0.000321624,0.000142726,0.001458976,0.00007577837,0.00006979932,0.0001403299,0.0002256877,0.9265898,0.002429975,0.06297435,0.001491421,0.004079577],"study_design_scores_gemma":[0.000009646912,0.00004382936,0.00007514918,0.000002979998,0.000009194418,0.00001181653,0.00002229828,0.9959658,0.0001110292,0.003664869,0.00007523759,0.000008130465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5520676,0.002118911,0.4257014,0.002950018,0.0003098121,0.0001182234,0.0001900343,0.0007282869,0.01581578],"genre_scores_gemma":[0.9890833,0.0003096191,0.007288916,0.0001051685,0.00008642863,0.00003313443,0.00007011162,0.00004632822,0.002976894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01237725,"threshold_uncertainty_score":0.02774864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03787317834205312,"score_gpt":0.3390445940980144,"score_spread":0.3011714157559613,"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."}}