{"id":"W4210247895","doi":"10.1007/s11134-021-09727-6","title":"The kernel method tail asymptotics analytic approach for stationary probabilities of two-dimensional queueing systems","year":2022,"lang":"en","type":"article","venue":"Queueing Systems","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Queueing theory; Mathematics; Random walk; Kernel (algebra); Applied mathematics; Statistical physics; Layered queueing network; Discrete mathematics; Statistics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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","sts"],"consensus_categories":[],"category_scores_codex":[0.005053149,0.0003088881,0.0006215208,0.0003518534,0.001427819,0.0003235506,0.0005952111,0.00005530068,0.00001485762],"category_scores_gemma":[0.0004685633,0.000254878,0.00027143,0.0008637931,0.0001239468,0.0006169084,0.0003455349,0.000253816,0.000005893739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000217424,"about_ca_system_score_gemma":0.0001017838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001802584,"about_ca_topic_score_gemma":0.00002601381,"domain_scores_codex":[0.9967421,0.0003695277,0.001034465,0.0005551183,0.0008141763,0.0004846336],"domain_scores_gemma":[0.9962696,0.001439585,0.001129993,0.0006162566,0.0005220937,0.00002240205],"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":[0.00006457428,0.000053861,0.0006714255,0.0007831167,0.0002036068,0.000001962303,0.0001429049,0.6768579,0.000165744,0.3204405,0.0004111183,0.0002032891],"study_design_scores_gemma":[0.0005147649,0.00002780723,0.00002417159,0.00009885394,0.0002632907,0.00001336501,0.01000495,0.9691885,0.00001449478,0.01183368,0.007695583,0.000320605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2360905,0.008963697,0.7256966,0.0009178731,0.005989207,0.008868503,0.0002402854,0.001195917,0.01203744],"genre_scores_gemma":[0.9912239,0.000001447338,0.004047418,0.0001202866,0.0007732295,0.0008244389,0.0001415454,0.00008400864,0.00278369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7551335,"threshold_uncertainty_score":0.9999903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0212725477293827,"score_gpt":0.2648443889072882,"score_spread":0.2435718411779055,"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."}}