{"id":"W2039309307","doi":"10.1109/wcnc.2010.5506398","title":"QoS Provisioning for Wireless Mesh and Optical Burst Switching Convergence","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer network; Computer science; Wireless mesh network; Provisioning; Quality of service; Optical burst switching; Mesh networking; Access network; Bandwidth (computing); Wireless network; Distributed computing; Wireless; Telecommunications; Wavelength-division multiplexing; Optical performance monitoring","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":[0.00007400517,0.0001162295,0.0001315136,0.00003044759,0.00006829491,0.00003248151,0.0001236221,0.0001235021,0.00001684849],"category_scores_gemma":[0.0001287743,0.00009964636,0.00002173783,0.00007108808,0.00006730105,0.0001420684,0.00006521461,0.0002933987,0.000006200825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008975912,"about_ca_system_score_gemma":0.000004324337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.450718e-7,"about_ca_topic_score_gemma":0.00001174922,"domain_scores_codex":[0.99936,0.000001272782,0.0001344166,0.0001688265,0.00006649832,0.0002690154],"domain_scores_gemma":[0.9995462,0.0001910202,0.000009922514,0.0001634473,0.00002438924,0.00006506591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001443561,0.00001726824,0.001139778,0.0001304789,0.00002870409,0.000006099652,0.0000635633,0.00240065,0.2174875,0.5598053,0.0004562525,0.21845],"study_design_scores_gemma":[0.0003549202,0.0000606247,0.0004685325,0.00003462304,0.00001295873,0.00001549492,0.000167056,0.9500409,0.03673508,0.009179051,0.002555605,0.0003750932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5346143,0.00003039293,0.4627322,0.0001223737,0.0003695343,0.0001917146,8.348304e-7,0.0008710625,0.001067608],"genre_scores_gemma":[0.7622958,0.00002441278,0.2374998,0.00001625211,0.00007240109,0.00003256375,7.76052e-7,0.00002053391,0.00003747708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9476403,"threshold_uncertainty_score":0.4063461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007002692894435707,"score_gpt":0.2292627200032414,"score_spread":0.2222600271088057,"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."}}