{"id":"W2114201820","doi":"10.1109/hspr.2008.4734417","title":"Parallel distributed lightpath control and management for survivable optical mesh networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Distributed computing; Scalability; Mesh networking; Node (physics); Routing protocol; Resource Reservation Protocol; Path vector protocol; Protocol (science); Blocking (statistics); Backup; Wireless mesh network; Optical mesh network; Routing (electronic design automation); Wireless Routing Protocol; Internet protocol suite; Wireless network; Wireless; The Internet; Engineering; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001481193,0.0004342998,0.0004014757,0.0003546386,0.0006724723,0.0007409867,0.001565859,0.0005177833,0.001738315],"category_scores_gemma":[0.00164354,0.0002092621,0.000259825,0.0003384476,0.0009359559,0.001572658,0.001032877,0.0009613567,0.0001960615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007694865,"about_ca_system_score_gemma":0.0006252019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008709087,"about_ca_topic_score_gemma":0.001076798,"domain_scores_codex":[0.9992245,0.0001705156,0.00004689317,0.0001487486,0.0003548157,0.00005439195],"domain_scores_gemma":[0.9990439,0.0003875059,0.0001474906,0.0002333435,0.0001486644,0.00003917845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001010094,0.0006186403,0.001759165,0.0003332953,0.0001312533,0.0004433894,0.0005606972,0.2395331,0.09426098,0.1115999,0.00610054,0.5436489],"study_design_scores_gemma":[0.0001534318,0.0003379,0.000274546,0.00001297927,0.00004510639,0.0001904649,0.00003863857,0.9288443,0.02435666,0.03535787,0.01035781,0.00003020385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02233673,0.000297197,0.9746302,0.0002128666,0.00009352995,0.0001346425,0.00002504344,0.0006597309,0.001610075],"genre_scores_gemma":[0.7208346,0.0003656833,0.2730234,0.0001273104,0.0001611815,0.0004177625,0.0001177065,0.0000731071,0.004879241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001738315,"threshold_uncertainty_score":0.007833362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0092863762459134,"score_gpt":0.2043393534900003,"score_spread":0.1950529772440869,"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."}}