{"id":"W4408472310","doi":"10.5206/mase/21096","title":"Single server Markovian queueing system with working vacation, impatient customers and disasters","year":2025,"lang":"en","type":"article","venue":"Mathematics in Applied Sciences and Engineering","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Queueing theory; Queueing system; Computer science; Markov process; Computer network; Markovian arrival process; Layered queueing network; Real-time computing; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004541609,0.0001225014,0.0001635016,0.0003255869,0.0001495324,0.000235682,0.0001110239,0.00002461411,0.000001372795],"category_scores_gemma":[0.00002036318,0.0001006841,0.00001191696,0.0008112638,0.0000679992,0.0002132977,0.00009792254,0.00006542256,0.000001148808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004410299,"about_ca_system_score_gemma":0.000004585801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001768413,"about_ca_topic_score_gemma":0.00003012276,"domain_scores_codex":[0.9992872,0.000002007639,0.000189286,0.0002093453,0.0001241962,0.0001879419],"domain_scores_gemma":[0.9997278,0.0000682335,0.0000810689,0.0001007948,0.00001223238,0.000009842309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008048806,0.00002697032,0.002639336,0.001328248,0.00002262677,0.000002151181,0.0006416969,0.2626968,0.0007390686,0.7288438,0.000003598579,0.003047668],"study_design_scores_gemma":[0.000273754,0.00000577323,0.0004230973,0.001065394,0.00004629789,0.000001991898,0.00780994,0.9864908,0.0000839507,0.003179826,0.0003538165,0.0002653185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544928,0.00007128182,0.02799146,0.00006818715,0.00006804771,0.0001767074,1.210035e-7,0.00009789725,0.01703352],"genre_scores_gemma":[0.9947395,0.000001925828,0.005136374,0.00004581332,0.00002675459,0.00001768461,5.726675e-7,0.000009252788,0.00002217363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.725664,"threshold_uncertainty_score":0.4105778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008578412117676845,"score_gpt":0.1927948974564286,"score_spread":0.1842164853387517,"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."}}