{"id":"W2788748907","doi":"10.1109/tsg.2018.2809958","title":"Enhancing WAMS Communication Network Against Delay Attacks","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Software deployment; Smart grid; Electric power system; Grid; Units of measurement; Computer science; System of measurement; Transmission (telecommunications); Transmission delay; Real-time computing; Engineering; Electronic engineering; Electrical engineering; Power (physics); Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006295659,0.0005230239,0.0004315184,0.0009073266,0.0006936772,0.0008682887,0.0007555324,0.0007276186,0.001273297],"category_scores_gemma":[0.003530598,0.0001584084,0.0002771991,0.0006252651,0.0004259146,0.001762501,0.001046845,0.0005379989,0.00043315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182293,"about_ca_system_score_gemma":0.000804632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002109125,"about_ca_topic_score_gemma":0.001943835,"domain_scores_codex":[0.9994741,0.0001712285,0.000022339,0.00007108065,0.0001855103,0.00007581678],"domain_scores_gemma":[0.9987819,0.0005304753,0.0001795821,0.0001766683,0.0002842129,0.00004722466],"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":[0.0001941645,0.00005478683,0.00138977,0.0001168754,0.00002559438,0.0001815738,0.0001508499,0.8401501,0.02538883,0.030884,0.002833526,0.09863],"study_design_scores_gemma":[0.000005160785,0.00005322898,0.00008131744,0.00000506102,0.000007584705,0.00007254082,0.00002289092,0.9906546,0.003909368,0.003229682,0.001952747,0.000005782226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07415215,0.0004366713,0.9196643,0.0003550316,0.00008515241,0.00009984249,0.00007379327,0.001169922,0.003963287],"genre_scores_gemma":[0.9286562,0.0004508936,0.0676734,0.00008447666,0.00003875968,0.00007549091,0.000068758,0.00004113206,0.002910939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002109125,"threshold_uncertainty_score":0.008578122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026033570982977,"score_gpt":0.2253053665765612,"score_spread":0.2150450308667314,"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."}}