{"id":"W2089138131","doi":"10.1109/wocn.2013.6616186","title":"Quality of service provisioning in metropolitan area networks using optical burst switching","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Wilfrid Laurier University","funders":"","keywords":"Computer science; Computer network; Quality of service; Optical burst switching; Provisioning; The Internet; Metropolitan area network; Metropolitan area; Scheduling (production processes); Circuit switching; Bandwidth (computing); Local area network; Wavelength-division multiplexing; Optical performance monitoring; Engineering","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":[0.0001900624,0.0001752976,0.0003419022,0.0001161539,0.00003165997,0.00002688859,0.0002263209,0.0001710705,0.00004750731],"category_scores_gemma":[0.0001590765,0.0001556712,0.00004240267,0.0006053412,0.00004432779,0.0003146381,0.0001401714,0.0003876731,0.000007227082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002323841,"about_ca_system_score_gemma":0.000007309101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005367908,"about_ca_topic_score_gemma":0.000190662,"domain_scores_codex":[0.9986696,0.0000191401,0.0005112683,0.000192444,0.0001560435,0.0004514886],"domain_scores_gemma":[0.9992309,0.000275303,0.00004293051,0.0003152735,0.00006808067,0.00006751613],"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":[0.000004922441,0.00002457746,0.004927171,0.00007478667,0.00001804379,0.000001915338,0.00002808044,0.9487412,0.009618842,0.02749189,0.00001274678,0.009055821],"study_design_scores_gemma":[0.0001813255,0.00001384024,0.004624965,0.00007980946,0.000003883574,0.000001701163,0.000904096,0.9879432,0.0007777665,0.005263641,0.00000496277,0.0002007582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5979217,0.0001421091,0.3980231,0.00007763137,0.00005648104,0.0001650342,2.896612e-7,0.0003906345,0.003223034],"genre_scores_gemma":[0.7872803,0.00001031077,0.2126086,0.00003779909,0.00002276194,0.00001032413,0.000001089185,0.00002488098,0.000003917147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1893586,"threshold_uncertainty_score":0.6348087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02746407431833831,"score_gpt":0.2768798162943695,"score_spread":0.2494157419760312,"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."}}