{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001031736,0.0001138425,0.0002511263,0.00005102796,0.000009137588,0.000005884845,0.0001746281,0.0001319559,0.00005187943],"category_scores_gemma":[0.00003053606,0.0001041741,0.00002632645,0.0005378808,0.00001706493,0.00008246923,0.00003115318,0.0001870578,0.000005338317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002873884,"about_ca_system_score_gemma":0.000002035045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004736534,"about_ca_topic_score_gemma":0.0003531457,"domain_scores_codex":[0.9992177,0.00001568951,0.0003036847,0.0001151498,0.00008475161,0.0002630052],"domain_scores_gemma":[0.9995758,0.00008997589,0.00002219021,0.0002551819,0.00002962071,0.00002725653],"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":[0.00002776821,0.00009943303,0.006701798,0.00006611412,0.00002515446,0.000002935515,0.00002915611,0.9145772,0.004463412,0.05601801,0.0003067544,0.01768222],"study_design_scores_gemma":[0.0005470864,0.00004033045,0.1825982,0.00004936795,0.000005151913,4.414305e-7,0.00008786969,0.7983903,0.002679222,0.01522296,0.00005980701,0.0003192508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8594465,0.0002442017,0.1282212,0.0001936889,0.0000867415,0.0001372951,0.00000152564,0.001225561,0.01044329],"genre_scores_gemma":[0.9914839,0.0000923207,0.008277823,0.00007593619,0.00001068231,0.000002930321,0.000005588686,0.00001039774,0.00004038777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1758964,"threshold_uncertainty_score":0.4248098,"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."}}