{"id":"W3113730827","doi":"10.1109/pesgm41954.2020.9281705","title":"A DoS-resilient Set-Theoretic Controller for Smart Grid Applications","year":2020,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Smart grid; Controller (irrigation); Model predictive control; Control theory (sociology); Grid; Computation; Actuator; Distributed computing; Control engineering; Engineering; Control (management); Algorithm; Mathematics","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":[0.0005233914,0.0005994424,0.0005450321,0.0002532597,0.0003545974,0.0007633239,0.0009772922,0.0006450259,0.001656499],"category_scores_gemma":[0.00113272,0.0001861617,0.0004133804,0.000228552,0.0006489825,0.0006031084,0.0007744373,0.001053812,0.0003506013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004854746,"about_ca_system_score_gemma":0.0006955558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001201339,"about_ca_topic_score_gemma":0.001257316,"domain_scores_codex":[0.9996001,0.00006114804,0.00002189009,0.00009753962,0.0001759298,0.00004343379],"domain_scores_gemma":[0.9996229,0.0001217492,0.00009450358,0.00004918906,0.00009261844,0.00001902617],"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":[0.000160387,0.00009653813,0.0003344375,0.0002818946,0.00006045905,0.0001632524,0.0001786685,0.8441861,0.02979603,0.03275444,0.002123803,0.08986396],"study_design_scores_gemma":[0.00001519048,0.00008525313,0.00007833114,0.00001174756,0.000009535118,0.00002718334,0.00000932814,0.9922471,0.003613089,0.002517409,0.001377108,0.000008709239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01219374,0.0001731871,0.9829024,0.0001607289,0.00008051316,0.0000624306,0.00002445715,0.0005724351,0.003830065],"genre_scores_gemma":[0.9446226,0.0001387391,0.05308637,0.0001359548,0.00005061666,0.0001060899,0.00004100993,0.00002510253,0.001793572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001656499,"threshold_uncertainty_score":0.005541563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135279219664609,"score_gpt":0.217134264061246,"score_spread":0.2057814718645999,"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."}}