{"id":"W2952154992","doi":"10.48550/arxiv.1112.1181","title":"On the Stability Region of Multi-Queue Multi-Server Queueing Systems with Stationary Channel Distribution","year":2011,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Polytope; Queue; Queueing theory; Stability (learning theory); Computer science; Channel (broadcasting); Stationary distribution; Layered queueing network; Bulk queue; Network packet; Applied mathematics; Mathematical optimization; Mathematics; Computer network; Combinatorics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001760125,0.00033449,0.0003237711,0.00008763288,0.0001097331,0.00001812653,0.0003522049,0.0002614786,0.000009595788],"category_scores_gemma":[0.00003409802,0.0002991092,0.0000935595,0.0003403036,0.0001318337,0.0002207186,0.000155967,0.0005073409,0.000005912509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004438294,"about_ca_system_score_gemma":0.00004968667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002652461,"about_ca_topic_score_gemma":0.0001163468,"domain_scores_codex":[0.998706,0.0001616632,0.000264758,0.0005171341,0.00009417578,0.0002563119],"domain_scores_gemma":[0.9984679,0.0001602521,0.0002821942,0.0007619451,0.0002550267,0.0000727436],"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":[0.00009926521,0.00008873641,0.001006615,0.0002934173,0.00009453126,0.00002857392,0.000213782,0.9850679,0.00001139907,0.01304635,0.00003096005,0.00001847865],"study_design_scores_gemma":[0.0004897492,0.00003961759,0.001340998,0.0004312838,0.00006267709,0.000001850067,0.0003586149,0.9959282,0.0003002286,0.0007179726,0.000006806202,0.0003219776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3305728,0.00007218549,0.6681995,0.000004500483,0.000223675,0.0005756186,0.00007439031,0.0001889025,0.00008833067],"genre_scores_gemma":[0.9988858,0.0002581388,0.0004008494,0.00000472085,0.00003096591,0.000008586364,0.0002712536,0.00005314498,0.00008659342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6683129,"threshold_uncertainty_score":0.9999461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08948768818141309,"score_gpt":0.1722220250286964,"score_spread":0.08273433684728335,"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."}}