{"id":"W1537366078","doi":"10.1023/a:1020941305448","title":"Two M/M/1 Queues with Transfers of Customers","year":2002,"lang":"en","type":"article","venue":"Queueing Systems","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"National Science Foundation","keywords":"Queueing theory; Transfer (computing); Bulk queue; Burke's theorem; Queue; Stationary distribution; Mathematics; Markov chain; Computer science; Applied mathematics; Mathematical optimization; Fork–join queue; Queue management system; Statistics; Computer network; Parallel computing","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":[0.0003434542,0.000197213,0.0003757052,0.0003293951,0.0001175807,0.00009915223,0.0002382281,0.00004429554,0.0001209226],"category_scores_gemma":[0.00003642795,0.0001619999,0.00009789649,0.0007255475,0.0001030903,0.0008003089,0.00002339047,0.0001086928,0.0001708159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003359198,"about_ca_system_score_gemma":0.000004708771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001514292,"about_ca_topic_score_gemma":0.00009772457,"domain_scores_codex":[0.9987718,0.00002918409,0.0003523645,0.0002715188,0.0002994458,0.0002756753],"domain_scores_gemma":[0.9992135,0.00005890604,0.0002474527,0.0003307544,0.0001348361,0.00001450742],"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":[0.000232448,0.0003045806,0.01529662,0.002508195,0.0008528004,0.0001307893,0.00127569,0.3352849,0.008208753,0.6244211,0.002076018,0.009408089],"study_design_scores_gemma":[0.00765389,0.0002735747,0.0004453273,0.004071372,0.002050904,0.00007430663,0.01531128,0.8164186,0.002749055,0.004208098,0.1430156,0.003727962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8336644,0.0008226894,0.004248532,0.0003031011,0.000544193,0.0005194369,0.000004534442,0.0005819183,0.1593112],"genre_scores_gemma":[0.9982246,0.000008153886,0.00007762715,0.000124482,0.0004014201,0.00001902472,0.000004075672,0.00004414091,0.001096549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.620213,"threshold_uncertainty_score":0.6606164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418374144959014,"score_gpt":0.2123957937844073,"score_spread":0.1982120523348171,"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."}}