{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007293689,0.0001604977,0.0001601825,0.00005569971,0.00003323547,0.00001928588,0.000161752,0.0001613435,0.0002194338],"category_scores_gemma":[0.00007580676,0.000110906,0.00004598061,0.0001201105,0.00004085148,0.0002373476,0.0000983514,0.0001164368,0.0001670252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001477761,"about_ca_system_score_gemma":0.000007972823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007678542,"about_ca_topic_score_gemma":0.000005003387,"domain_scores_codex":[0.9991707,0.000007665577,0.0001647884,0.0001959999,0.00009724475,0.0003636195],"domain_scores_gemma":[0.9995168,0.00008027429,0.00002143948,0.0003077863,0.00002039306,0.00005323499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009441555,0.000005016662,0.00001810363,0.00001794189,0.00004729778,0.00001403595,0.00002205864,0.009734116,0.7561743,0.008111536,0.000333826,0.2255123],"study_design_scores_gemma":[0.0008740656,0.0001494338,0.00002202689,0.0002419734,0.00005121266,0.0000458026,0.0001246806,0.716351,0.1959022,0.08069057,0.00422446,0.001322548],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1177167,0.00008633341,0.8752825,0.00006733975,0.0002248789,0.0001218971,0.00001199332,0.002332872,0.004155451],"genre_scores_gemma":[0.5184873,0.00007447175,0.4762809,0.00008111611,0.0001734159,0.00001761203,0.000001410245,0.0001394287,0.004744385],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7066169,"threshold_uncertainty_score":0.4522616,"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."}}