{"id":"W2126940261","doi":"","title":"Virtual topology design for flexible periodic traffic demands","year":2011,"lang":"en","type":"article","venue":"European Conference on Networks and Optical Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Network topology; Computer science; Topology (electrical circuits); Scheduling (production processes); Logical topology; Set (abstract data type); Integer programming; Topology optimization; Distributed computing; Mathematical optimization; Computer network; Engineering; Mathematics; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002376117,0.0001888718,0.0002060065,0.00005493015,0.0002569655,0.00004983933,0.0006828549,0.0001021991,0.00003584443],"category_scores_gemma":[0.00007796721,0.0001759278,0.00004514207,0.0001286072,0.0006027485,0.0000761805,0.0002106591,0.0004186524,0.00002732365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001726488,"about_ca_system_score_gemma":0.000009800781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.799116e-7,"about_ca_topic_score_gemma":0.000004283511,"domain_scores_codex":[0.9990403,0.00009333134,0.0002571171,0.0002063253,0.00005199836,0.0003508935],"domain_scores_gemma":[0.9985318,0.0004400077,0.00002708768,0.0008324421,0.00005327874,0.000115349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005178625,0.00008171317,0.00001383927,0.000007408298,0.00003795704,0.000003200031,0.0002137256,0.1100869,0.00003504996,0.7493245,0.0006652366,0.1394787],"study_design_scores_gemma":[0.0003773694,0.0006180648,0.0004547384,0.00005053759,0.00003293662,0.000007255599,0.0002596538,0.9894449,0.00003263823,0.003712934,0.004683398,0.0003256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004207763,0.0008508936,0.9369322,0.0003408275,0.000109568,0.0003309396,0.000004049655,0.001028933,0.05619484],"genre_scores_gemma":[0.8596776,0.002147904,0.1378455,0.00008940743,0.00003991977,0.00005309388,0.0000117662,0.00003939913,0.00009535266],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8793579,"threshold_uncertainty_score":0.7174129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09186295714247966,"score_gpt":0.2692058228596036,"score_spread":0.1773428657171239,"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."}}