{"id":"W1583374146","doi":"10.1007/978-3-319-23267-6_5","title":"Simplifying Layered Queuing Network Models","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Bottleneck; Queueing theory; Queue; Process (computing); Distributed computing; Message queue; Theoretical computer science; Parallel computing; Programming language; Computer network; Embedded system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002428832,0.0006189519,0.0007521865,0.0004602809,0.0003776888,0.000592923,0.003927554,0.0004994396,0.000009998003],"category_scores_gemma":[0.00006730981,0.0005271161,0.0001712942,0.0008097374,0.0004626993,0.001322088,0.001994193,0.0009761536,0.00007671105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005925175,"about_ca_system_score_gemma":0.001071366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004824446,"about_ca_topic_score_gemma":0.00004597492,"domain_scores_codex":[0.9949829,0.00005349921,0.0007450944,0.00177611,0.001397083,0.001045339],"domain_scores_gemma":[0.9963153,0.0004155094,0.000362173,0.002109202,0.0004957471,0.0003020814],"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":[0.000003813986,0.000009575703,0.00007424113,0.00004897559,0.000008213454,0.00003255292,0.000591566,0.7531407,0.000004041015,0.01080271,0.0001298773,0.2351537],"study_design_scores_gemma":[0.0001669751,0.00007205114,0.00001858455,0.0004318681,0.0000039609,0.00005102902,1.828332e-7,0.6695601,0.00003060098,0.3277285,0.001426163,0.0005099466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000118426,0.001601695,0.9871461,0.0002930526,0.003658821,0.0004490092,0.000002520601,0.0004103573,0.006319964],"genre_scores_gemma":[0.5137321,0.0000764476,0.482141,0.001368147,0.002122552,0.0000217712,0.000006460377,0.00007177117,0.0004596324],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5136138,"threshold_uncertainty_score":0.999718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0411898687021969,"score_gpt":0.2651238267813384,"score_spread":0.2239339580791415,"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."}}