{"id":"W2310208842","doi":"10.1109/smartgridcomm.2015.7436348","title":"Tuning out of phase: Resonance attacks","year":2015,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Oscillation (cell signaling); Phase (matter); Computer science; Transmission (telecommunications); Resonance (particle physics); Electric power system; Power (physics); Observable; Adversary; Work (physics); Control theory (sociology); Low-frequency oscillation; Engineering; Telecommunications; Physics; Computer security; Control (management)","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":[0.0004920203,0.0004579567,0.0004169978,0.0003213403,0.0003981675,0.0004983525,0.0005376239,0.000886558,0.002446515],"category_scores_gemma":[0.002448392,0.0001672667,0.0004065888,0.0001742743,0.001009409,0.001394428,0.001105648,0.0009892281,0.0004776562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002909204,"about_ca_system_score_gemma":0.0001575609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002260903,"about_ca_topic_score_gemma":0.0002249408,"domain_scores_codex":[0.9990004,0.0002830847,0.00003453746,0.0001833284,0.0003656437,0.0001330831],"domain_scores_gemma":[0.9985263,0.0007828315,0.0002069801,0.0003119506,0.0001127386,0.0000590926],"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":[0.0009699414,0.0002009906,0.003687669,0.0002366829,0.0002402661,0.001305437,0.0006270665,0.3582473,0.2077743,0.2346771,0.004905063,0.1871282],"study_design_scores_gemma":[0.00005994691,0.0004057178,0.001053604,0.00002748119,0.00004079681,0.0008804821,0.0001227872,0.8890067,0.03044489,0.06933369,0.008578622,0.00004521967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1344366,0.0002749063,0.846091,0.0003845471,0.0001265542,0.00005353707,0.00003885318,0.0007771126,0.01781689],"genre_scores_gemma":[0.9785847,0.0001103821,0.01939166,0.0001394618,0.00004867982,0.000024942,0.00001704652,0.00004257912,0.001640568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002446515,"threshold_uncertainty_score":0.008184373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03500328693413945,"score_gpt":0.2820083012641941,"score_spread":0.2470050143300546,"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."}}