{"id":"W3094939798","doi":"10.1007/978-3-030-58672-0_6","title":"PFDD: On Feasibility and Limitations of Detecting FmDI Attacks Using D-FACTS","year":2020,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Software deployment; Key (lock); Grid; Transmission (telecommunications); Class (philosophy); Graph; Distributed computing; Computer network; Embedded system; Computer security; Telecommunications; Theoretical computer science; Artificial intelligence; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009783022,0.0003026365,0.0004286527,0.00007359609,0.0001074459,0.00002848762,0.0001384729,0.0004214743,0.000010803],"category_scores_gemma":[0.00004255696,0.0003207298,0.00010516,0.00006077395,0.0001197877,0.00006072789,0.0000647594,0.0007592824,0.000005331229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007537719,"about_ca_system_score_gemma":0.00002323693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005510081,"about_ca_topic_score_gemma":0.00007933243,"domain_scores_codex":[0.9988938,0.00001710188,0.0003433819,0.0003294229,0.0001876787,0.0002286429],"domain_scores_gemma":[0.9990289,0.0004189248,0.0001135329,0.0002657679,0.0000465509,0.0001263472],"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":[0.00006062239,0.00002192873,0.0002850423,0.0006141364,0.0001999977,0.00004697835,0.0008410797,0.9321588,0.0003451265,0.009795489,0.000319003,0.05531177],"study_design_scores_gemma":[0.0004048563,0.0001342633,0.0006108899,0.001401547,0.0001373445,0.00002018944,0.00006862602,0.9903479,0.0003825991,0.001120882,0.004583469,0.0007873959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5726303,0.0191269,0.04729673,0.0001417132,0.006235663,0.002514767,0.0001493353,0.001493416,0.3504111],"genre_scores_gemma":[0.9971339,0.001647061,0.0002299308,0.00004063831,0.0004578027,0.000002773699,0.00001391378,0.00007355565,0.0004004951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4245035,"threshold_uncertainty_score":0.9999245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0703715525483,"score_gpt":0.2413015165400365,"score_spread":0.1709299639917365,"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."}}