{"id":"W2117656647","doi":"10.1109/glocom.2009.5426007","title":"Differentiated Quality of Service in Survivable WDM Mesh Networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Computer science; Scalability; Quality of service; Bandwidth (computing); Computer network; Reliability (semiconductor); Service (business); Service provider; Telecommunications service; Service guarantee; Network planning and design; Distributed computing; Service design; Business","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001214214,0.0006651421,0.0004512326,0.0004765615,0.0003117096,0.001027407,0.0007342012,0.0007544808,0.0007408769],"category_scores_gemma":[0.002045249,0.0003117473,0.0004212931,0.0009371373,0.0006818622,0.0009379738,0.0005313308,0.0006697362,0.00009565824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001865599,"about_ca_system_score_gemma":0.0009699053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004536347,"about_ca_topic_score_gemma":0.003404317,"domain_scores_codex":[0.9992959,0.0003492222,0.00001660787,0.00007193704,0.0001968044,0.00006948249],"domain_scores_gemma":[0.999568,0.0002763179,0.00006466299,0.00002856892,0.00004660798,0.00001579794],"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":[0.00003405009,0.00002217656,0.0002095007,0.00005146625,0.000009494114,0.00003161263,0.00002302312,0.9583397,0.001135726,0.02508962,0.0003456088,0.01470808],"study_design_scores_gemma":[0.000006288004,0.00002361324,0.00009356924,0.000008002314,0.000005007949,0.000008917355,0.00001019422,0.9867364,0.00031156,0.0120476,0.0007441456,0.000004717832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1061121,0.007024262,0.8753616,0.0009407509,0.00009939741,0.00008518541,0.0001666289,0.0001605311,0.01004943],"genre_scores_gemma":[0.9129215,0.003122846,0.08157122,0.00008310792,0.00007046392,0.0001057302,0.0001022706,0.0000519567,0.001970948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004536347,"threshold_uncertainty_score":0.01353592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868508972717457,"score_gpt":0.2537283982558172,"score_spread":0.2350433085286426,"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."}}