{"id":"W2465969241","doi":"10.1109/ict.2016.7500475","title":"Improving carrier ethernet recovery time using a fast reroute mechanism","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Carrier Ethernet; Connection-oriented Ethernet; Metro Ethernet; Ethernet over SDH; Computer network; Ethernet over PDH; Computer science; Ethernet flow control; ATA over Ethernet; Synchronous Ethernet; Ethernet; Industrial Ethernet; Local area network; Distributed computing","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":[0.001502397,0.0004155871,0.0004711874,0.0009724804,0.0003736779,0.0005880046,0.000975199,0.0005276728,0.001314801],"category_scores_gemma":[0.003247655,0.000142741,0.0002868333,0.0003278017,0.0003726526,0.001509517,0.0006079913,0.0006543744,0.0001749179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003538303,"about_ca_system_score_gemma":0.0005292819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005924135,"about_ca_topic_score_gemma":0.000408657,"domain_scores_codex":[0.9993549,0.0001640893,0.00003525243,0.00009078443,0.0002273037,0.0001276494],"domain_scores_gemma":[0.9977955,0.0009042299,0.0004088086,0.0004577016,0.0003511322,0.00008271681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001587477,0.001051003,0.004056916,0.0003706765,0.0001369043,0.0004671319,0.0005031573,0.15127,0.3434309,0.04472973,0.003041732,0.4493544],"study_design_scores_gemma":[0.0003203072,0.002901899,0.002501294,0.00004745325,0.0002276449,0.0008253559,0.000151529,0.7652374,0.2132033,0.004452867,0.009988622,0.0001423494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5546014,0.002085982,0.4352588,0.0003127189,0.0001917624,0.0001446489,0.00002961275,0.002223547,0.005151504],"genre_scores_gemma":[0.9601917,0.0002647553,0.03794138,0.00004208702,0.00003775374,0.00003130364,0.00001955173,0.00005822756,0.001413287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001502397,"threshold_uncertainty_score":0.007945538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008224441046542038,"score_gpt":0.1970515901260666,"score_spread":0.1888271490795246,"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."}}