{"id":"W1597189333","doi":"10.1109/icppw.2004.7","title":"A cycle-based rerouting scheme for wavelength-routed WDM networks","year":2004,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Parallel Processing","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada); University of Ottawa; Communications Research Centre Canada","funders":"","keywords":"Wavelength-division multiplexing; Computer science; Scalability; Computer network; Scheme (mathematics); Upper and lower bounds; Optical mesh network; Set (abstract data type); Distributed computing; Mesh networking; Wavelength; Telecommunications; Wireless mesh network; Mathematics; Optics; Physics","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":[0.0002707712,0.0003378131,0.0003113419,0.0006364869,0.0005099698,0.0002862165,0.00100501,0.0003896523,0.001103639],"category_scores_gemma":[0.0004980742,0.0001490899,0.0002680595,0.0004144327,0.0003692577,0.0008098045,0.0005184238,0.0004257695,0.000209556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004345099,"about_ca_system_score_gemma":0.0004779367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009814089,"about_ca_topic_score_gemma":0.00136141,"domain_scores_codex":[0.999805,0.00003911966,0.00001372403,0.00003801481,0.00007254221,0.00003161111],"domain_scores_gemma":[0.9997023,0.00005295098,0.00004068288,0.00009200723,0.00008150558,0.00003062735],"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":[0.0004426803,0.000197379,0.0009271379,0.0003545741,0.00008445503,0.000293529,0.0002333812,0.1358901,0.17354,0.08003575,0.004777443,0.6032237],"study_design_scores_gemma":[0.0001021945,0.0008581941,0.0008188027,0.00005016506,0.00008969274,0.000785773,0.00006547377,0.8673139,0.06251306,0.02827815,0.03900884,0.0001157713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08891413,0.001436682,0.9038684,0.0002834807,0.0002338804,0.0001925299,0.00008414122,0.001140403,0.00384637],"genre_scores_gemma":[0.6953793,0.000772625,0.2995766,0.0001979534,0.00008291384,0.0001323305,0.0001689846,0.00006448217,0.003624764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001103639,"threshold_uncertainty_score":0.003692031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02707819586340818,"score_gpt":0.261417903230544,"score_spread":0.2343397073671358,"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."}}