{"id":"W2134081166","doi":"10.1109/hpsr.2005.1503268","title":"Survivable routing and wavelength assignment (RWA) in optical virtual private networks (O-VPNs)","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Integer programming; Private network; Routing and wavelength assignment; Computer science; Computer network; Spare part; Scalability; Linear programming; Routing (electronic design automation); Wavelength-division multiplexing; Distributed computing; Multiplexing; Quality of service; Integer (computer science); Resource allocation; Engineering; Algorithm; Telecommunications; Wavelength","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":[0.0008464681,0.00103882,0.0006923153,0.0004022788,0.0004609078,0.0008619989,0.0009671278,0.0009779987,0.001158986],"category_scores_gemma":[0.001564219,0.0005174332,0.000707378,0.0008707287,0.0008816822,0.001604915,0.0008029868,0.001115904,0.0001344655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000929842,"about_ca_system_score_gemma":0.001181127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003458388,"about_ca_topic_score_gemma":0.003087177,"domain_scores_codex":[0.9993265,0.0003067501,0.00002022854,0.0001431897,0.00009204995,0.0001113361],"domain_scores_gemma":[0.9990425,0.0006822164,0.0001299431,0.00005003123,0.00005713343,0.00003814191],"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":[0.00003129492,0.00003015942,0.0002409572,0.00007022521,0.00001855569,0.00004847501,0.00004337021,0.9616076,0.001311142,0.01241407,0.0003976363,0.02378657],"study_design_scores_gemma":[0.000003482848,0.00002561122,0.00003977543,0.000005207023,0.000006006137,0.00001425578,0.00002164026,0.9914341,0.0006028251,0.007149051,0.0006953147,0.000002728499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01739296,0.0002570798,0.980325,0.0001306623,0.00002489808,0.00003281366,0.00003860157,0.0001128426,0.001685162],"genre_scores_gemma":[0.6188118,0.0008124191,0.3765419,0.0001562163,0.00008680725,0.0002173193,0.0001608781,0.0001016722,0.003110971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003458388,"threshold_uncertainty_score":0.006876528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007114986855694213,"score_gpt":0.2037179470611891,"score_spread":0.1966029602054949,"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."}}