{"id":"W2088132095","doi":"10.1023/b:pnet.0000026890.01257.61","title":"Virtual Topology Design and Reconfiguration of Virtual Private Networks (VPNs) over All-Optical WDM Networks","year":2004,"lang":"en","type":"article","venue":"Photonic Network Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; University of Ottawa","funders":"","keywords":"Computer science; Heuristics; Control reconfiguration; Private network; Computer network; Routing (electronic design automation); Distributed computing; Network topology; Set (abstract data type); Path (computing); Mathematical optimization; Integer programming; Topology (electrical circuits); Algorithm; Mathematics","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":[0.0004638212,0.0001983952,0.0002757086,0.0003933813,0.0003784283,0.0008437129,0.0006852863,0.0002558944,0.0009684935],"category_scores_gemma":[0.00124643,0.0002209381,0.0001595674,0.0003513701,0.0004102961,0.0009694615,0.0003803261,0.0002826462,0.00007785448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005725837,"about_ca_system_score_gemma":0.0003183933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008540718,"about_ca_topic_score_gemma":0.001707389,"domain_scores_codex":[0.999658,0.0001421548,0.00001820453,0.00004493666,0.00007238731,0.00006438512],"domain_scores_gemma":[0.9992574,0.0002871611,0.0000989384,0.0001277508,0.0001324553,0.00009627044],"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":[0.0008540091,0.0001501497,0.00178973,0.0001223754,0.00005663185,0.0002705137,0.0002139682,0.6967771,0.06604446,0.04730388,0.001833928,0.1845833],"study_design_scores_gemma":[0.00001814532,0.00007977348,0.00042101,0.000003870397,0.00001664206,0.00007912597,0.00004247053,0.9795329,0.007741311,0.0106961,0.001361423,0.000007258185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4679651,0.0005070631,0.5221435,0.0002084284,0.00008984865,0.00005987351,0.00005318459,0.0005002485,0.008472699],"genre_scores_gemma":[0.9774245,0.00007804063,0.02165686,0.00001711932,0.00001413425,0.00001300006,0.00002431021,0.00002411472,0.0007479757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009684935,"threshold_uncertainty_score":0.004154384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196417665267973,"score_gpt":0.2531661347840096,"score_spread":0.2335243682572123,"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."}}