{"id":"W4387005490","doi":"10.1109/pesgm52003.2023.10252747","title":"Cyberattack Threats Against Adaptive Protection Systems in Microgrids","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Resilience (materials science); Vulnerability (computing); Reliability (semiconductor); Computer science; Computer security; Power-system protection; Risk analysis (engineering); Electric power system; Reliability engineering; Engineering; Business","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":[0.0008715401,0.0006677073,0.0004952772,0.0004627754,0.0007136063,0.001227147,0.0005614889,0.0009527721,0.001398685],"category_scores_gemma":[0.003500981,0.000206404,0.0005104479,0.0003713559,0.001545468,0.002131891,0.001516617,0.0007292427,0.0001498553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006435961,"about_ca_system_score_gemma":0.0004576884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002599959,"about_ca_topic_score_gemma":0.001309447,"domain_scores_codex":[0.9992666,0.0003127537,0.00003679171,0.0000964668,0.0001811668,0.0001061921],"domain_scores_gemma":[0.9972132,0.001614944,0.0004581509,0.0003622776,0.0002600127,0.00009153104],"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":[0.0001519596,0.0000617464,0.006008473,0.000187827,0.0001127527,0.00129438,0.0004968193,0.9375402,0.007969634,0.03011164,0.0008147921,0.01524974],"study_design_scores_gemma":[0.00002492206,0.0001954494,0.002420611,0.00004899333,0.00004435593,0.000406815,0.000458738,0.9632215,0.005334896,0.02571655,0.002103224,0.00002393827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7700899,0.0009797541,0.2104409,0.000686809,0.00007950481,0.0001926968,0.0001721379,0.0006399532,0.0167184],"genre_scores_gemma":[0.9960561,0.0001565417,0.003193986,0.00003156528,0.000005622075,0.00002047579,0.00002108342,0.000007693213,0.0005070241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002599959,"threshold_uncertainty_score":0.00516963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02641623407038973,"score_gpt":0.2287270823007422,"score_spread":0.2023108482303524,"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."}}