{"id":"W1556292613","doi":"10.1016/s1388-3437(03)80193-2","title":"A performance analysis of a multiplexer with priority queues and correlated arrivals","year":2003,"lang":"en","type":"book-chapter","venue":"Teletraffic science and engineering","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Multiplexer; Queue; Computer science; Queueing theory; Computer network; Telecommunications; Multiplexing","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":[0.001590463,0.0008496204,0.0008193249,0.001023859,0.0007710908,0.001465409,0.001117052,0.0007827164,0.003679344],"category_scores_gemma":[0.0046192,0.0004349984,0.0004316698,0.001407829,0.001097254,0.001643193,0.0007380839,0.0008744269,0.0003091107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002303553,"about_ca_system_score_gemma":0.001017752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004928702,"about_ca_topic_score_gemma":0.002215098,"domain_scores_codex":[0.9992716,0.000203912,0.00001729489,0.00009404346,0.0002609082,0.0001523487],"domain_scores_gemma":[0.9977286,0.001701716,0.0001468657,0.000113767,0.0002269928,0.00008201692],"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":[0.0005073283,0.0001480422,0.001460539,0.0001032028,0.00008787554,0.0002367425,0.000202961,0.8138174,0.01609087,0.1387482,0.001482655,0.02711422],"study_design_scores_gemma":[0.000005103697,0.0000539852,0.0002142757,0.000003233526,0.00001597062,0.00003002506,0.00001156969,0.9934695,0.000993608,0.005013432,0.0001820726,0.00000717008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4462247,0.003499876,0.5306802,0.0006711077,0.0001440763,0.00009093315,0.0001260559,0.0004531593,0.01810982],"genre_scores_gemma":[0.9755996,0.0008500792,0.0164525,0.00007086335,0.000134506,0.00002797497,0.00003347782,0.00006376475,0.006767299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004928702,"threshold_uncertainty_score":0.01671356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007840809205634123,"score_gpt":0.1864508831655755,"score_spread":0.1786100739599414,"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."}}