{"id":"W2144351143","doi":"10.1109/hpcs.2005.57","title":"Topology Reconfiguration Mechanism for Traffic Engineering in WDM Optical Network","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Control reconfiguration; Wavelength-division multiplexing; Computer science; Network topology; Computer network; Distributed computing; Multiplexing; Topology (electrical circuits); Real-time computing; Engineering; Wavelength; Telecommunications; Embedded system","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":[0.0000773685,0.0001313441,0.0001716464,0.00006586778,0.00001848093,0.0000111968,0.0001064749,0.0001926395,0.00003736167],"category_scores_gemma":[0.00005733377,0.0001352591,0.00003537294,0.0001388227,0.00001752683,0.0001157234,0.00001432232,0.0001781246,0.00002087288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008853818,"about_ca_system_score_gemma":0.000003461604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.069001e-7,"about_ca_topic_score_gemma":0.00005544909,"domain_scores_codex":[0.9991492,0.000002800985,0.0002348379,0.0001522201,0.00004389667,0.0004170389],"domain_scores_gemma":[0.9996483,0.0001560556,0.000008984735,0.0001342228,0.00001514243,0.00003729052],"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":[0.000003708196,0.00000499664,0.0000016077,0.000007697687,0.000004807565,8.713694e-7,0.000006811301,0.752886,0.000414667,0.210775,0.0003762479,0.03551759],"study_design_scores_gemma":[0.0003203962,0.00005237178,0.00002804824,0.00001179259,0.000003815708,0.000005114275,0.00001770401,0.987443,0.002493032,0.006282708,0.003165682,0.0001762987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1181693,0.0001338365,0.8749935,0.00116098,0.0003280096,0.000386381,8.213873e-7,0.001946918,0.0028802],"genre_scores_gemma":[0.624881,0.00003962043,0.3746021,0.00004987339,0.0002670347,0.00008337507,0.000003485849,0.00002501647,0.00004852922],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5067116,"threshold_uncertainty_score":0.5515705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008942548477931586,"score_gpt":0.2167442216525218,"score_spread":0.2078016731745902,"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."}}