{"id":"W2121176827","doi":"10.1109/glocom.2004.1378282","title":"Quantitative QoS guarantees in labeled optical burst switching networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer network; Quality of service; Optical burst switching; Blocking (statistics); Network packet; Queueing theory; Scheduling (production processes); Forwarding plane; Distributed computing; Wavelength-division multiplexing; Wavelength","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":[0.0001037214,0.0001828717,0.0002372362,0.00009909433,0.00003105027,0.00002572397,0.0002003927,0.0001587334,0.00004502081],"category_scores_gemma":[0.0001029522,0.0001651694,0.00003752596,0.0003531913,0.00005645298,0.0002373166,0.00006095488,0.0004769355,0.00007979201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009140157,"about_ca_system_score_gemma":0.000003690165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003946742,"about_ca_topic_score_gemma":0.0002044483,"domain_scores_codex":[0.9989415,0.000009156824,0.0002790089,0.000193706,0.0001048088,0.0004718116],"domain_scores_gemma":[0.9994587,0.0002628501,0.00001334764,0.0002016308,0.0000178486,0.00004559669],"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":[0.00001353852,0.00002294891,0.0002855027,0.000007087075,0.00001522101,0.0000131598,0.0000425037,0.8905593,0.001073244,0.08137703,0.0002635366,0.02632693],"study_design_scores_gemma":[0.0003289577,0.00004510286,0.0005376106,0.00004530554,0.000004673683,0.000003946176,0.0002186546,0.9953958,0.0007664909,0.001424573,0.0009757879,0.0002531219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.376878,0.001508813,0.6087443,0.0004679763,0.0001866934,0.000188168,6.03397e-7,0.001825747,0.01019968],"genre_scores_gemma":[0.7614245,0.0001980168,0.2381431,0.00005691191,0.00009307318,0.00001779369,0.000001387143,0.00002844871,0.00003680749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3845464,"threshold_uncertainty_score":0.6735412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123188071333964,"score_gpt":0.2470946609584928,"score_spread":0.2358627802451532,"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."}}