{"id":"W4400075135","doi":"10.1109/tifs.2024.3420075","title":"A Feasibility Area Approach for Early Stage Detection of Stealthy Infiltrated Cyberattacks in Power Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Information Forensics and Security","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Stage (stratigraphy); Computer security; Power (physics); Computer network; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002607909,0.0001383451,0.0001820022,0.0002576565,0.00008047361,0.0001041133,0.00005104486,0.000154544,0.000003712438],"category_scores_gemma":[0.000004877617,0.0001309328,0.00006630793,0.0003523554,0.00005845595,0.0007798304,7.608527e-7,0.0002842752,0.00000164534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008080116,"about_ca_system_score_gemma":0.00002982123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001170018,"about_ca_topic_score_gemma":0.00009225485,"domain_scores_codex":[0.999106,0.00002091502,0.0004310755,0.0001186305,0.0001542284,0.0001691068],"domain_scores_gemma":[0.9996079,0.00007125679,0.00003751287,0.0001349135,0.00008729685,0.00006108087],"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":[0.0006429003,0.0002718199,0.0005218459,0.008408475,0.0002346358,0.00000282727,0.04725005,0.9256119,0.002043781,0.005404851,0.0002596416,0.009347283],"study_design_scores_gemma":[0.0004917555,0.000162958,0.0005344243,0.00008019659,0.0000141578,0.000006889313,0.001021446,0.9920762,0.00436045,0.0001948492,0.0008820989,0.0001745689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4598435,0.00009997512,0.5382524,0.00000425139,0.0006003067,0.0004865311,0.0002442634,0.0001042183,0.0003645266],"genre_scores_gemma":[0.9996372,0.00008162014,0.0001505841,0.000009711578,0.000008841926,0.00007434435,0.00001927331,0.000009204952,0.000009248938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5397936,"threshold_uncertainty_score":0.5339285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296152494935163,"score_gpt":0.2249406619072696,"score_spread":0.211979136957918,"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."}}