{"id":"W4404037018","doi":"10.1109/smartgridcomm60555.2024.10738061","title":"Detecting Malicious Data in Distribution System State Estimation using Feature Attribution","year":2024,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Feature (linguistics); Estimation; Data mining; State (computer science); Artificial intelligence; Data modeling; Attribution; Pattern recognition (psychology); Algorithm; Database; 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":[0.001286021,0.0006865966,0.0005482258,0.0008139527,0.0002446684,0.000653335,0.0006733035,0.0004673465,0.0005698033],"category_scores_gemma":[0.01324732,0.0002351253,0.0003976102,0.000562061,0.0008713287,0.001747048,0.001229483,0.001035564,0.0001232288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005547122,"about_ca_system_score_gemma":0.0004084074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008349168,"about_ca_topic_score_gemma":0.0007816748,"domain_scores_codex":[0.9990403,0.0002395181,0.00004757759,0.0002110954,0.000379222,0.00008228011],"domain_scores_gemma":[0.9938122,0.003088932,0.001506918,0.00100449,0.0004575613,0.0001298828],"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":[0.000337933,0.0001320905,0.01453393,0.0001162623,0.0000786386,0.0002262483,0.0001613304,0.7487766,0.02472791,0.01323789,0.0008254308,0.1968458],"study_design_scores_gemma":[0.000004521145,0.0000594364,0.001319729,0.000004951231,0.000006618703,0.00006714401,0.000008992375,0.988846,0.006998866,0.002464156,0.0002099144,0.000009667699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08128287,0.0001090657,0.9168268,0.0001321244,0.00003211331,0.00003861426,0.00003741252,0.0007057151,0.0008353516],"genre_scores_gemma":[0.9722009,0.00004530873,0.02743811,0.00002430833,0.00001676241,0.00001298423,0.00003123294,0.00001802869,0.0002124662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001286021,"threshold_uncertainty_score":0.006801188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03086054727763166,"score_gpt":0.2818168333994309,"score_spread":0.2509562861217993,"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."}}