{"id":"W2026226766","doi":"10.1007/s11134-008-9064-y","title":"Approximations for the M/GI/N+GI type call center","year":2008,"lang":"en","type":"article","venue":"Queueing Systems","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Queue; Poisson distribution; Laplace transform; Exponential function; Mathematics; Computer science; Server; Workload; Applied mathematics; Mathematical optimization; Mathematical analysis; Statistics; Computer network","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":[],"consensus_categories":[],"category_scores_codex":[0.0004527008,0.0001381255,0.0001875476,0.0001193615,0.0006579189,0.0001408332,0.0002684905,0.00005497969,0.00002986398],"category_scores_gemma":[0.0002394493,0.00009820351,0.0001088493,0.000413541,0.00005786755,0.0005179883,0.00006069814,0.0000988156,0.0002610284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003676558,"about_ca_system_score_gemma":0.00001401778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003711297,"about_ca_topic_score_gemma":0.00003558574,"domain_scores_codex":[0.9990649,0.00001937866,0.0002732236,0.0002153541,0.0001871292,0.0002400367],"domain_scores_gemma":[0.9990028,0.0001779065,0.0002071512,0.0003596785,0.0002432276,0.000009204725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001644489,0.0002326812,0.0138977,0.001157205,0.0005568159,0.00002715534,0.0008265654,0.07993958,0.001000401,0.824743,0.07551667,0.00193773],"study_design_scores_gemma":[0.0005235324,0.000008913588,0.0003847664,0.0001202584,0.0001267232,0.00001742125,0.000494984,0.2472142,0.00002161036,0.002437672,0.7483267,0.0003232305],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2690139,0.003304064,0.6153734,0.006266903,0.01092595,0.005695692,0.00004585358,0.002398893,0.08697537],"genre_scores_gemma":[0.9914179,0.000009429678,0.00024343,0.000503517,0.001658267,0.0001044042,0.00003147764,0.00003628031,0.005995302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8223054,"threshold_uncertainty_score":0.5060247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03254360343862187,"score_gpt":0.2431694018438913,"score_spread":0.2106257984052694,"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."}}