{"id":"W2028267736","doi":"10.1109/lanman.2011.6076925","title":"Connection rerouting in GRWA networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université de Montréal","funders":"","keywords":"Heuristics; Computer science; Connection (principal bundle); Context (archaeology); Distributed computing; Limit (mathematics); Blocking (statistics); Computer network; Integer programming; Computational complexity theory; Throughput; Integer (computer science); Quality of service; Mathematical optimization; Algorithm; Mathematics; 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":[0.0004862369,0.0006845379,0.0004583704,0.0006512366,0.0006409229,0.0009340842,0.000785904,0.0006683076,0.002118525],"category_scores_gemma":[0.001363942,0.0003781517,0.0003250191,0.0006284736,0.0006958565,0.0009464005,0.0004576687,0.0007063143,0.0002643807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007222682,"about_ca_system_score_gemma":0.0006632813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004783137,"about_ca_topic_score_gemma":0.009606966,"domain_scores_codex":[0.9996186,0.0001505473,0.00001124186,0.00005621411,0.00006756471,0.00009579859],"domain_scores_gemma":[0.9995415,0.0002635883,0.0000850276,0.00004733112,0.00003428889,0.00002821369],"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":[0.00004682043,0.00004983362,0.0003823459,0.00005476939,0.00001366354,0.0001215414,0.00003742064,0.9567268,0.003136259,0.008101136,0.0005299306,0.03079937],"study_design_scores_gemma":[0.00001026943,0.00004622349,0.0001641595,0.000007175541,0.00001019544,0.00005723849,0.00004150218,0.986614,0.00180797,0.009923096,0.001311223,0.000006987601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.202985,0.0007641481,0.7808328,0.0003448252,0.00007721516,0.0002567154,0.0001208913,0.0009984217,0.01361993],"genre_scores_gemma":[0.8376648,0.0004699413,0.15595,0.0001210735,0.00002267903,0.0001631304,0.0001434602,0.0001125522,0.005352262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004783137,"threshold_uncertainty_score":0.009510577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823359088740284,"score_gpt":0.2016044861425537,"score_spread":0.1833708952551508,"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."}}