{"id":"W2116717082","doi":"10.1287/ijoc.12.4.261.11882","title":"Internet-Type Queues with Power-Tailed Interarrival Times and Computational Methods for Their Analysis","year":2000,"lang":"en","type":"article","venue":"INFORMS journal on computing","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; George Mason University; National Science Foundation","keywords":"Mathematics; Queue; Exponential function; Laplace transform; Applied mathematics; Steady state (chemistry); Exponential distribution; Heavy-tailed distribution; Mathematical optimization; Probability distribution; Computer science; Statistics; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0009747439,0.000248357,0.0004344235,0.000642721,0.0003474791,0.0006593197,0.0002614394,0.0000491632,0.00045136],"category_scores_gemma":[0.0001410722,0.0001663316,0.0002084417,0.0008514849,0.00007570905,0.001034371,0.00007678669,0.0002830664,0.00002456613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004557703,"about_ca_system_score_gemma":0.00001648152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009835445,"about_ca_topic_score_gemma":0.000004817523,"domain_scores_codex":[0.9987571,0.00003033724,0.0005090923,0.0002308636,0.0001814882,0.0002911226],"domain_scores_gemma":[0.9985611,0.0004739268,0.0004678664,0.0001357846,0.0003269545,0.00003436479],"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":[0.001189662,0.000059405,0.005525805,0.00003669347,0.002047396,0.00001128095,0.0006474695,0.5171314,0.00001290232,0.008066725,0.000278691,0.4649926],"study_design_scores_gemma":[0.0008534412,0.0001719365,0.001359409,0.000142326,0.000426487,0.00004385426,0.000346033,0.9586173,0.00004191031,0.02098967,0.0166539,0.0003537451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6652342,0.00005866954,0.3308546,0.0003263175,0.0001270568,0.0001314248,0.000001029743,0.00009664516,0.003169997],"genre_scores_gemma":[0.9545107,0.000003779729,0.04280933,0.00205806,0.000363419,0.000001492904,0.00002054702,0.00002531488,0.0002072971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4646388,"threshold_uncertainty_score":0.6782807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528921517501288,"score_gpt":0.2948225607351147,"score_spread":0.2795333455601018,"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."}}