{"id":"W2121515906","doi":"10.1287/ijoc.1050.0148","title":"Waiting-Time Distribution of <i>M/D<sub>N</sub>/1</i> Queues Through Numerical Laplace Inversion","year":2007,"lang":"en","type":"article","venue":"INFORMS journal on computing","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Queue; Laplace transform; Inversion (geology); Mathematics; Recursion (computer science); Burke's theorem; Numerical analysis; Applied mathematics; Mathematical optimization; Algorithm; Computer science; Mathematical analysis; Fork–join queue; Queue management system; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001127057,0.0002235352,0.0002116447,0.0004937076,0.0002973166,0.0006963926,0.0007034088,0.0003871643,0.001004067],"category_scores_gemma":[0.004947617,0.0002052529,0.00029231,0.0004210953,0.0007826527,0.0009515891,0.0003963169,0.0006401022,0.0001401913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134793,"about_ca_system_score_gemma":0.001148275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008478194,"about_ca_topic_score_gemma":0.004232988,"domain_scores_codex":[0.9998072,0.00006474635,0.000007339911,0.00001743113,0.00007427993,0.00002901372],"domain_scores_gemma":[0.9982044,0.00125299,0.0001763314,0.00009050642,0.0002272148,0.00004861654],"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":[0.000167067,0.000078522,0.005879372,0.00005339091,0.00001979909,0.0001249293,0.0003118645,0.8861449,0.008061917,0.07334086,0.0006532281,0.02516405],"study_design_scores_gemma":[0.000004983799,0.000006111796,0.0001665579,0.000001919805,0.000001341833,0.000007902178,0.00001084456,0.9965528,0.0007042467,0.002463197,0.00007674149,0.000003355695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3207746,0.0001981975,0.6740669,0.0003682253,0.00002317949,0.00003539634,0.00006217373,0.0003525467,0.00411869],"genre_scores_gemma":[0.9482935,0.0001136732,0.05005588,0.00003943838,0.00002001657,0.00002166094,0.00004857489,0.00004477234,0.001362484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008478194,"threshold_uncertainty_score":0.01685768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009484064999067985,"score_gpt":0.2327397478342008,"score_spread":0.2232556828351328,"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."}}