{"id":"W2940589937","doi":"10.23977/jeis.2017.22013","title":"Study of Monitoring False Data Injection Attacks Based on Machine-learning in Electric Systems","year":2017,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003197643,0.0000708408,0.0001460903,0.0006775389,0.000493578,0.0006568141,0.00123769,0.00003157939,3.461723e-7],"category_scores_gemma":[0.0004246474,0.00005870644,0.00001540337,0.0006385162,0.0000332682,0.01057421,0.0001910492,0.0003870683,6.286172e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001037945,"about_ca_system_score_gemma":0.0002541853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005642909,"about_ca_topic_score_gemma":0.00001106728,"domain_scores_codex":[0.9985046,0.00005688261,0.0005043838,0.0001171085,0.0006326654,0.0001843968],"domain_scores_gemma":[0.9980973,0.00005503642,0.001041723,0.0004534743,0.0002990267,0.00005345651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003919063,0.0007362797,0.1105563,0.0001000423,0.00002998391,0.00001168536,0.00623983,0.4237891,0.005118867,0.01487602,0.00007035469,0.4380797],"study_design_scores_gemma":[0.0006114462,0.001944876,0.02469015,0.00006104027,0.00000335704,0.00003347267,0.0001495215,0.9706975,0.0007723605,0.00004454166,0.0009227103,0.00006897344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745479,0.0002058472,0.02416834,0.00008024782,0.00053812,0.0001312775,3.270958e-7,0.000008715951,0.0003192177],"genre_scores_gemma":[0.9994507,0.0002848411,0.0002060956,0.00001410382,0.0000399975,9.726199e-7,2.261258e-7,0.000001411488,0.000001628439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5469085,"threshold_uncertainty_score":0.7666048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02936250757449088,"score_gpt":0.2984508710749817,"score_spread":0.2690883635004909,"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."}}