{"id":"W2158837898","doi":"10.1109/ccece.2009.5090248","title":"A Virtual Node-based Shared Restoration scheme in multi-domain networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Scalability; Distributed computing; Computer network; Scheme (mathematics); Node (physics); Overhead (engineering); Routing (electronic design automation); Domain (mathematical analysis); Set (abstract data type); Engineering; Mathematics; Database","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":[0.00007340239,0.0001408162,0.0001423653,0.00009855983,0.00002319525,0.00002241189,0.0001292754,0.0001737055,0.00002622766],"category_scores_gemma":[0.00005844473,0.0001403839,0.00002750696,0.0003792151,0.00002904743,0.0001665679,0.00001495279,0.0002692343,0.00002288706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001134616,"about_ca_system_score_gemma":0.000006052925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001523364,"about_ca_topic_score_gemma":0.00004462979,"domain_scores_codex":[0.9992356,0.000009623488,0.0002061351,0.0001629747,0.00008738011,0.000298281],"domain_scores_gemma":[0.9996848,0.00004745159,0.00001371865,0.000199262,0.00001574378,0.00003900636],"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":[0.0000137816,0.00002973061,0.0003664943,0.00000217661,0.000002268218,0.00001054322,0.00001009662,0.9858156,0.001702275,0.003512111,0.0005645599,0.007970356],"study_design_scores_gemma":[0.0005880067,0.00005073047,0.002552358,0.00002667933,0.000001017254,4.35163e-7,0.00003302657,0.9952935,0.0002664879,0.0005732666,0.000434608,0.0001799101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05387936,0.0001564328,0.9430416,0.0002965035,0.00007215414,0.0001612777,0.000001009534,0.001557964,0.0008336562],"genre_scores_gemma":[0.6752108,0.00001078144,0.324537,0.000157787,0.00002225151,0.00001341213,0.00001131594,0.00001384831,0.00002271615],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6213315,"threshold_uncertainty_score":0.5724691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566636843413903,"score_gpt":0.2389291928494552,"score_spread":0.2232628244153161,"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."}}