{"id":"W2154895213","doi":"10.1017/s0269964805050084","title":"COMPUTATIONAL ANALYSIS OF STATIONARY WAITING-TIME DISTRIBUTIONS OF <i>GI</i><sup><i>X</i></sup>/<i>R</i>/1 AND <i>GI</i><sup><i>X</i></sup>/<i>D</i>/1 QUEUES","year":2005,"lang":"en","type":"article","venue":"Probability in the Engineering and Informational Sciences","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Mathematics; Degree (music); Laplace transform; Type (biology); Polynomial; Combinatorics; Riemann–Stieltjes integral; Distribution (mathematics); Probability distribution; Queueing theory; Discrete mathematics; Class (philosophy); Rational function; Applied mathematics; Mathematical analysis; Physics; Statistics; Integral equation; Computer science","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":[0.001608326,0.0001935825,0.0003633902,0.0002655205,0.0002696862,0.00007318853,0.0002874852,0.00006879453,0.00007960878],"category_scores_gemma":[0.001200951,0.0001555702,0.00009441901,0.001485421,0.0006332206,0.0005648719,0.00007580686,0.0001612236,0.000004994363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005660047,"about_ca_system_score_gemma":0.0001031454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003141815,"about_ca_topic_score_gemma":0.000004024394,"domain_scores_codex":[0.997779,0.00008512437,0.0009959204,0.0002409408,0.0006438618,0.0002551843],"domain_scores_gemma":[0.9966027,0.002579612,0.0002666138,0.000191056,0.0002697996,0.00009019753],"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":[0.000005712579,0.0001167846,0.0005056974,0.00009569793,0.00004691638,6.043921e-8,0.001505049,0.6228831,0.00001318781,0.3738762,0.0001848193,0.0007667689],"study_design_scores_gemma":[0.0002406358,0.00004007906,0.007045324,0.00003969095,0.0001072977,0.000007639517,0.0004722407,0.9496161,0.00004826034,0.04179135,0.0004339836,0.0001573658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437228,0.0001059995,0.05065604,0.002199606,0.000009928361,0.000511351,0.00184572,0.00007305339,0.000875472],"genre_scores_gemma":[0.9803135,0.00001935333,0.01904561,0.0001151114,0.00001895097,0.00007374859,0.0003998045,0.000004972366,0.000008942778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3320849,"threshold_uncertainty_score":0.6343967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02595925004401042,"score_gpt":0.2885907022903708,"score_spread":0.2626314522463604,"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."}}