{"id":"W4405501870","doi":"10.3390/smartcities7060154","title":"SoK: A Reality Check for DNP3 Attacks 15 Years Later","year":2024,"lang":"en","type":"article","venue":"Smart Cities","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Siemens (Canada)","funders":"Atlantic Canada Opportunities Agency","keywords":"Reality check; Computer science; Computer security; Geology; Test (biology)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00968003,0.001352048,0.00134481,0.002707528,0.003586933,0.007197164,0.002121981,0.003870227,0.01342521],"category_scores_gemma":[0.04845876,0.0007900564,0.001499073,0.001844686,0.005597219,0.01909937,0.006913479,0.007630206,0.008526813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003379754,"about_ca_system_score_gemma":0.002890187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00267568,"about_ca_topic_score_gemma":0.001582905,"domain_scores_codex":[0.9837462,0.005137576,0.000910938,0.002485144,0.005837581,0.001882568],"domain_scores_gemma":[0.9742402,0.009994081,0.001622483,0.007427478,0.005625096,0.001090698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002383143,0.0003245239,0.01157177,0.0007841886,0.0002176053,0.001488855,0.002786544,0.01244886,0.007359037,0.5185421,0.1736602,0.2684331],"study_design_scores_gemma":[0.0002856927,0.0006023376,0.003836485,0.001016434,0.0002322566,0.001947519,0.002817866,0.09114175,0.01935291,0.3012399,0.5771277,0.000399105],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1398123,0.009543854,0.3899274,0.07624401,0.01385728,0.001446036,0.0041976,0.02334522,0.3416263],"genre_scores_gemma":[0.8147329,0.003626348,0.1076727,0.01113488,0.002400293,0.0005514385,0.003069155,0.00295473,0.05385751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01342521,"threshold_uncertainty_score":0.05119354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830502980659932,"score_gpt":0.2520812484166864,"score_spread":0.2337762186100871,"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."}}