{"id":"W4408281964","doi":"10.1109/iecon55916.2024.10906019","title":"Mitigating False Data Injection Attacks in DC Microgrids with Multiple Interlinking Converters","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Converters; Computer science; Data retention; Computer security; Electrical engineering; Voltage; Engineering","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":[0.0004698963,0.0006298354,0.0004035754,0.0002530603,0.0003096829,0.0005664034,0.0005582735,0.0003893018,0.0004108286],"category_scores_gemma":[0.001433437,0.0001440649,0.0002011326,0.0001479803,0.0004041145,0.0006335308,0.0006287771,0.0005589262,0.00008563428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000329115,"about_ca_system_score_gemma":0.0003762132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003194804,"about_ca_topic_score_gemma":0.002767013,"domain_scores_codex":[0.9997398,0.0000614121,0.00002082574,0.00006418145,0.00008124679,0.00003249241],"domain_scores_gemma":[0.9995276,0.0001554667,0.0001280841,0.00006561328,0.0001015052,0.00002176511],"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":[0.0001888277,0.00005332092,0.003671701,0.00008513933,0.00005047755,0.0002977311,0.0001801408,0.9127797,0.0133059,0.002399382,0.0003106638,0.06667698],"study_design_scores_gemma":[0.000005948433,0.00006481756,0.0004974726,0.000006508543,0.00001226627,0.00003246689,0.00003394117,0.9947053,0.003810995,0.0006064295,0.0002186875,0.000005065137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3124447,0.0002488585,0.6828048,0.0001934286,0.00005100776,0.00006483422,0.0000313253,0.0008817361,0.003279295],"genre_scores_gemma":[0.9950801,0.00002614913,0.004619454,0.00001076894,0.000003189897,0.000008174534,0.000006399729,0.000003170311,0.0002426232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003194804,"threshold_uncertainty_score":0.006352425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476009567359661,"score_gpt":0.2375865522722674,"score_spread":0.2228264565986708,"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."}}