{"id":"W2081309163","doi":"10.1016/j.mcm.2006.04.008","title":"Discrete-time <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si53.gif\" display=\"inline\" overflow=\"scroll\"><mml:msup><mml:mrow><mml:mstyle mathvariant=\"italic\"><mml:mi>Geo</mml:mi></mml:mstyle></mml:mrow><mml:mrow><mml:mi>X</mml:mi></mml:mrow></mml:msup><mml:mo>/</mml:mo><mml:msup><mml:mrow><mml:mi>G</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mi>a</mml:mi><mml:mo>,</mml:mo><mml:mi>b</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mrow></mml:msup><mml:mo>/</mml:mo><mml:mn>1</mml:mn><mml:mo>/</mml:mo><mml:mi>N</mml:mi></mml:math> queues with single and multiple vacations","year":2006,"lang":"lv","type":"article","venue":"Mathematical and Computer Modelling","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Queue; Computer science; Algorithm; Service (business); Database; Real-time computing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001015828,0.001413655,0.0008530709,0.0009034645,0.0008819107,0.004830384,0.001946389,0.001373753,0.2550977],"category_scores_gemma":[0.005336489,0.0006440768,0.001153301,0.001428921,0.0006666525,0.002830123,0.001734276,0.002404993,0.1817556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809527,"about_ca_system_score_gemma":0.001800318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01114496,"about_ca_topic_score_gemma":0.01023221,"domain_scores_codex":[0.9989482,0.0001914755,0.00008455804,0.0002146362,0.0004267771,0.0001343621],"domain_scores_gemma":[0.9980501,0.0005613008,0.00009969178,0.0005124295,0.0006026093,0.000173906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006525373,0.0001357451,0.00079574,0.0006002043,0.00004407124,0.0002723373,0.0002504287,0.01932724,0.006971677,0.1134507,0.7074703,0.1500292],"study_design_scores_gemma":[0.0001634772,0.000069373,0.0004964379,0.0001184294,0.00002904359,0.0001487062,0.0001616344,0.09951815,0.01134993,0.04106262,0.8468115,0.00007064579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002940516,0.0004463209,0.6424304,0.003195426,0.001826644,0.0003385171,0.03437492,0.07301949,0.2414279],"genre_scores_gemma":[0.1116533,0.002093394,0.2652887,0.002792823,0.000772081,0.001303956,0.07919862,0.02551904,0.5113782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2550977,"threshold_uncertainty_score":0.8533867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496308777652448,"score_gpt":0.2192586114347495,"score_spread":0.204295523658225,"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."}}