{"id":"W3041614295","doi":"10.1109/tii.2020.3007425","title":"On the Resiliency of Power and Gas Integration Resources Against Cyber Attacks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Electric power system; Cyber-physical system; Scheduling (production processes); Artificial neural network; Real-time computing; System integration; Smart grid; Distributed computing; Power (physics); Embedded system; Artificial intelligence; Engineering; Operating system","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":[0.0007374525,0.0008754168,0.0005985473,0.000537811,0.0004181801,0.0008932524,0.0008578758,0.0009243367,0.001001413],"category_scores_gemma":[0.003029874,0.0003098188,0.0006333457,0.0004123099,0.001315262,0.001413531,0.0008464354,0.0008539195,0.000103963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196147,"about_ca_system_score_gemma":0.0008250339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0116874,"about_ca_topic_score_gemma":0.005353271,"domain_scores_codex":[0.9995762,0.0001305558,0.00001306106,0.0001092958,0.00008381731,0.00008709797],"domain_scores_gemma":[0.9990606,0.0004963022,0.000211365,0.0000789585,0.0001126998,0.00004010117],"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":[0.00002715067,0.00001008097,0.000435808,0.00001111419,0.00001175871,0.00003365153,0.00001240008,0.9927989,0.0008843109,0.003143689,0.00005767184,0.002573461],"study_design_scores_gemma":[0.00000119787,0.00001351664,0.0001042419,0.000001087451,0.000003239008,0.000004981305,0.000002653905,0.9990584,0.0001634798,0.0006116928,0.0000337665,0.000001726311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3000346,0.0007916166,0.6917077,0.0005996464,0.00006993901,0.00008395387,0.00009148616,0.0004143868,0.006206722],"genre_scores_gemma":[0.9933196,0.000231954,0.005443193,0.00001787737,0.00001100941,0.00001796008,0.0000185431,0.00001257998,0.0009273009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0116874,"threshold_uncertainty_score":0.02323872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02606878321673955,"score_gpt":0.2163301596809324,"score_spread":0.1902613764641929,"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."}}