{"id":"W4388667033","doi":"10.1109/dsa59317.2023.00040","title":"Single and Combined Cyberattack Impact on Industrial Wastewater Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spoofing attack; Computer science; Critical infrastructure; Computer security; Wastewater; Cyber-physical system; Isolation (microbiology); Work (physics); Industrial control system; Risk analysis (engineering); Environmental science; Business; Engineering; Environmental engineering; Control (management)","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":[0.0008311329,0.0007058457,0.0004421808,0.001147493,0.0003208319,0.0009197604,0.0004708919,0.0005751769,0.002452816],"category_scores_gemma":[0.002729312,0.0002277039,0.0007467324,0.0005328981,0.000881355,0.001242003,0.00114242,0.0006440697,0.0001581024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025751,"about_ca_system_score_gemma":0.0006787521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00452668,"about_ca_topic_score_gemma":0.003934279,"domain_scores_codex":[0.9990476,0.0002478604,0.00003708357,0.000125602,0.0003542773,0.000187621],"domain_scores_gemma":[0.9967958,0.002050501,0.000399422,0.0003090381,0.0003406015,0.0001046773],"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":[0.0002844046,0.0001246483,0.01955434,0.000139689,0.00008315636,0.0005649218,0.000108268,0.952769,0.01039113,0.004641138,0.000312414,0.01102695],"study_design_scores_gemma":[0.00001473663,0.0001981072,0.00731166,0.00001500393,0.00005170493,0.0000989964,0.0001038194,0.9760934,0.0127714,0.002873967,0.0004468667,0.00002032905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769927,0.0001630491,0.01588973,0.0001049014,0.00001820665,0.00005242727,0.0002564983,0.0003732181,0.006149267],"genre_scores_gemma":[0.9975845,0.0000517012,0.001795189,0.000008581661,0.000002025961,0.000009329974,0.00005874845,0.00001637719,0.0004735525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00452668,"threshold_uncertainty_score":0.009000659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04166238354967836,"score_gpt":0.2554436450242846,"score_spread":0.2137812614746063,"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."}}