{"id":"W4312643471","doi":"10.1109/tii.2022.3216568","title":"Dataplane-Based Fast Failover in SDN-Enabled Wide Area Measurement System of Smart Grid","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Failover; Backup; Phasor; Computer science; Algorithm; Network topology; Computer network; Distributed computing; Theoretical computer science; Topology (electrical circuits); Mathematics; Database","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001074685,0.0002141031,0.0003540491,0.0004147431,0.0002537248,0.00009640196,0.0007997192,0.0001247104,0.00006840708],"category_scores_gemma":[0.00002026072,0.0002119887,0.0001120091,0.001076207,0.00003370612,0.0005123961,0.00001438128,0.0007959711,0.00001800352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005096004,"about_ca_system_score_gemma":0.0004600412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001958693,"about_ca_topic_score_gemma":0.00006866189,"domain_scores_codex":[0.9972997,0.0001372325,0.0009818053,0.0001768209,0.001048323,0.0003560654],"domain_scores_gemma":[0.9985137,0.0002591446,0.00032872,0.0006925586,0.0001007726,0.0001050784],"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":[0.0002480578,0.0002920705,0.0001947347,0.00008301025,0.00006257372,0.000009903161,0.0008141639,0.9824378,0.00002149741,0.0002514768,0.00789192,0.007692825],"study_design_scores_gemma":[0.007930083,0.001252991,0.00006812567,0.0004594882,0.00008610953,0.00003519731,0.002105572,0.9630772,0.006739956,0.00003385739,0.01747478,0.0007366183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01025053,0.000009671193,0.9849545,0.0001866721,0.003069706,0.0005827791,0.0002257229,0.0001816183,0.0005387712],"genre_scores_gemma":[0.9977311,0.000002583143,0.001789251,0.0002563898,0.00004391764,0.0001153512,0.00001815638,0.0000127593,0.00003051409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9874805,"threshold_uncertainty_score":0.864465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05950992557186389,"score_gpt":0.2171856757708509,"score_spread":0.1576757501989871,"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."}}