{"id":"W1810000146","doi":"10.3233/hsn-2002-216","title":"A scalable logical topology for optical networks","year":2002,"lang":"en","type":"article","venue":"Journal of High Speed Networks","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Scalability; Topology (electrical circuits); Computer network; Logical topology; Network topology; Distributed computing; Theoretical computer science; Operating system; Electrical engineering","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":[0.0002623977,0.0002824615,0.0006644953,0.0001289087,0.00008759498,0.00004740755,0.0004568389,0.0005406649,0.000212767],"category_scores_gemma":[0.0001655131,0.0002316743,0.0002406207,0.0003547459,0.0002332972,0.000200278,0.00007509689,0.001031293,0.00001362402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001160536,"about_ca_system_score_gemma":0.000004776785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.908541e-7,"about_ca_topic_score_gemma":0.00000170342,"domain_scores_codex":[0.9980345,0.00002014941,0.0007574874,0.0001926637,0.0002012371,0.0007939691],"domain_scores_gemma":[0.9986193,0.0006096829,0.0001525639,0.000262687,0.0001453983,0.0002103305],"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":[0.00006518956,0.00005843455,0.00008210658,0.000009980481,0.00009058842,0.00008136993,0.000005562462,0.9357388,0.00005051398,0.01035126,0.02815638,0.02530984],"study_design_scores_gemma":[0.001047248,0.0005554005,0.0002307668,0.00005499475,0.00007245789,0.0003222162,0.0000210302,0.9817713,0.00008998959,0.006136861,0.009394437,0.0003032429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04405234,0.007137076,0.9430195,0.0009472545,0.002219798,0.0002683494,0.00000201586,0.0004035595,0.001950107],"genre_scores_gemma":[0.898348,0.001929578,0.09731087,0.0001756419,0.00201101,0.000006347249,0.000002174267,0.00006028091,0.0001561405],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8542956,"threshold_uncertainty_score":0.9447404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670852449709481,"score_gpt":0.2311787562284757,"score_spread":0.2144702317313809,"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."}}