{"id":"W68254656","doi":"10.1007/978-3-319-04645-7_3","title":"Service Response Time of Elastic Data Traffic","year":2014,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Service (business); Business","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":[0.001671576,0.0004813627,0.0004597172,0.0009106485,0.0003622657,0.001188222,0.001000846,0.0006943277,0.005071402],"category_scores_gemma":[0.01001531,0.0003711747,0.0003058215,0.001014356,0.0007206667,0.001204112,0.0004686143,0.001185251,0.0008185558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981546,"about_ca_system_score_gemma":0.0009023456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003781311,"about_ca_topic_score_gemma":0.001397681,"domain_scores_codex":[0.999163,0.0001818935,0.00002978939,0.0001196453,0.0003370335,0.0001685871],"domain_scores_gemma":[0.9957937,0.003026431,0.0002040463,0.0002197784,0.0005621135,0.0001939364],"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":[0.001332863,0.0001387558,0.00258896,0.0002538198,0.00005910267,0.0004007341,0.0007133621,0.5593147,0.0258838,0.3274743,0.01080175,0.07103788],"study_design_scores_gemma":[0.00001523371,0.00004048577,0.000885595,0.00001862938,0.00001275406,0.00010839,0.00007757055,0.9519111,0.001524105,0.04359463,0.001792215,0.00001931801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5169113,0.00674952,0.4130878,0.003051951,0.001155935,0.00007039216,0.0007085619,0.001838951,0.05642557],"genre_scores_gemma":[0.9812213,0.000803827,0.005768681,0.0001151557,0.0002049504,0.00002928194,0.0002570511,0.0002974904,0.01130233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005071402,"threshold_uncertainty_score":0.01696551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361061395285586,"score_gpt":0.2384753861622316,"score_spread":0.2148647722093757,"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."}}