{"id":"W2159484301","doi":"10.1109/tse.2008.74","title":"Enhanced Modeling and Solution of Layered Queueing Networks","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":204,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; IBM (Canada); Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Queueing theory; Distributed computing; Layered queueing network; Dependability; Control reconfiguration; Canonical form; Queue; Representation (politics); Theoretical computer science; Computer network","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":[0.0001424389,0.0001469559,0.0002006557,0.000135253,0.000164969,0.00001532448,0.0001814013,0.0001015178,0.000002332468],"category_scores_gemma":[0.00001174234,0.0001462826,0.00007560891,0.0003006209,0.00002372058,0.0003965154,0.000003611304,0.0002038408,0.000002626067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004711323,"about_ca_system_score_gemma":0.00003080785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003514154,"about_ca_topic_score_gemma":0.000002375745,"domain_scores_codex":[0.9990414,0.00001633408,0.0002776742,0.0002660749,0.000172074,0.000226457],"domain_scores_gemma":[0.9994091,0.00008828375,0.00004400294,0.0003175239,0.00007041389,0.00007069595],"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":[0.000005671961,0.00002328506,0.00005580938,0.0000479051,0.00001594216,0.000001645548,0.0003870757,0.9890589,0.001795038,0.00002347596,0.000001202891,0.008584093],"study_design_scores_gemma":[0.0002118587,0.00004627387,0.000271256,0.00009822956,0.000005054842,0.00002631213,0.000005030461,0.9854125,0.01376035,0.00000438473,0.000007833233,0.0001509408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2583488,0.00007388391,0.7406402,0.00000644392,0.0004889486,0.00009265111,0.000001371918,0.0003443612,0.000003323291],"genre_scores_gemma":[0.9559241,0.0001210789,0.04385832,0.00001095212,0.00003075923,0.00002165213,4.955225e-7,0.00001353247,0.00001909692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6975753,"threshold_uncertainty_score":0.596523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242658243910901,"score_gpt":0.2011325269344701,"score_spread":0.1887059444953611,"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."}}