{"id":"W4411673408","doi":"10.1016/j.automatica.2025.112463","title":"Optimal stochastic event-triggered attack on remote state estimation","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"State (computer science); Event (particle physics); Computer science; Estimation; Control theory (sociology); Algorithm; Engineering; Control (management); Artificial intelligence; Physics","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":[0.001899974,0.0009935327,0.001464526,0.0003746413,0.0003892794,0.0009227624,0.0008462628,0.001141954,0.002235274],"category_scores_gemma":[0.007509099,0.0005291536,0.0006114003,0.0004128009,0.001200296,0.001560385,0.002156852,0.001631904,0.000215977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008133992,"about_ca_system_score_gemma":0.001323294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004223815,"about_ca_topic_score_gemma":0.002991516,"domain_scores_codex":[0.9987181,0.0004520208,0.00005381887,0.0003164694,0.0002504845,0.0002090784],"domain_scores_gemma":[0.9960725,0.00296987,0.0002529607,0.0002334449,0.000334648,0.0001365821],"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":[0.0003983082,0.00004145653,0.000463423,0.00003824782,0.00004081793,0.00005901401,0.00002619485,0.971723,0.001687721,0.01013466,0.0004140772,0.01497297],"study_design_scores_gemma":[0.000004860044,0.00001113984,0.00006512894,0.000001292633,0.000002425284,0.000004211785,0.000001601033,0.9984397,0.0002052979,0.001239453,0.00002292566,0.000001918631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06747773,0.0001458253,0.9296476,0.0003069237,0.00007640699,0.00003389033,0.00006907953,0.0002498884,0.001992706],"genre_scores_gemma":[0.9783416,0.00006336684,0.01977796,0.00004893725,0.00004401117,0.0000299162,0.00008522705,0.00002271091,0.001586368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004223815,"threshold_uncertainty_score":0.01004815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009707711804800087,"score_gpt":0.2669530865644664,"score_spread":0.2572453747596664,"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."}}