{"id":"W2051269587","doi":"10.1145/512840.512842","title":"Solution properties and convergence of an approximate mean value analysis algorithm","year":2002,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mean value analysis; Convergence (economics); Separable space; Algorithm; Queueing theory; Queue; Computer science; Value (mathematics); Layered queueing network; Mathematical optimization; Mathematics; Line (geometry)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004986449,0.0009259163,0.001247409,0.001174784,0.0008858471,0.002119759,0.001637464,0.001987558,0.003446189],"category_scores_gemma":[0.03583207,0.000599156,0.0008970261,0.001186106,0.001718307,0.002522041,0.00230137,0.002626924,0.00110501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472829,"about_ca_system_score_gemma":0.002781336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00267555,"about_ca_topic_score_gemma":0.001277674,"domain_scores_codex":[0.9973888,0.001172538,0.0001084174,0.0003683701,0.0007568627,0.0002050492],"domain_scores_gemma":[0.986257,0.00951216,0.0005847557,0.0007673965,0.002607737,0.0002709266],"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":[0.0002243937,0.00008350929,0.001179676,0.0001450177,0.00005757589,0.0000868114,0.0002679462,0.7637198,0.003916253,0.1538154,0.002426923,0.0740767],"study_design_scores_gemma":[0.00001138368,0.0000180192,0.00003577533,0.000008426298,0.000003989905,0.00001678436,0.00001098494,0.9802774,0.0004404293,0.01874934,0.0004226361,0.000004852948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004462693,0.0001340406,0.9936736,0.000187292,0.00002410434,0.00002604765,0.00001704065,0.0001007107,0.001374502],"genre_scores_gemma":[0.3093525,0.0005315404,0.6841755,0.0003420766,0.0001527785,0.000532419,0.0001949692,0.0002551492,0.004463054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004986449,"threshold_uncertainty_score":0.02637118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09167207131624103,"score_gpt":0.2901766928358102,"score_spread":0.1985046215195692,"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."}}