{"id":"W2971466910","doi":"10.1109/access.2019.2939089","title":"Cognitive Risk Control for Mitigating Cyber-Attack in Smart Grid","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Smart grid; Computer security; Cyber-attack; Control (management); Cognition; Cognitive radio; Cyber-physical system; Telecommunications; Wireless; Artificial intelligence; Operating system; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001871962,0.0001318773,0.0002045165,0.00007628099,0.0000490708,0.00006956654,0.0002393369,0.00008818392,0.00003846662],"category_scores_gemma":[0.00008988177,0.000128934,0.00006186401,0.0001653115,0.00003113161,0.0003589778,0.00001673619,0.0002203207,0.00009560504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002992808,"about_ca_system_score_gemma":0.00001512394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008539422,"about_ca_topic_score_gemma":0.0002528781,"domain_scores_codex":[0.9991428,0.00002859108,0.0002062728,0.0001988581,0.0001126551,0.0003108065],"domain_scores_gemma":[0.9992425,0.0004863127,0.00004204737,0.0001259535,0.00004809949,0.00005507618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001748486,0.0001194186,0.7924898,0.000637528,0.0001830726,0.00002531719,0.002144663,0.1823227,0.004689389,0.0001028904,0.006296881,0.01081344],"study_design_scores_gemma":[0.01121158,0.0002163042,0.3121185,0.0009163992,0.0001152543,0.00001390619,0.0006157818,0.5934862,0.07241048,0.0008081321,0.006682883,0.001404573],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909968,0.0001813084,0.003987591,0.00002667106,0.002077113,0.0006185928,0.0001078056,0.0001052035,0.001898963],"genre_scores_gemma":[0.9992734,0.0000389067,0.00007188117,0.0001304883,0.0003224384,0.00009070431,0.000008786276,0.00002424931,0.00003918502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4803713,"threshold_uncertainty_score":0.5257776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542351084793621,"score_gpt":0.2773922380157907,"score_spread":0.2619687271678545,"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."}}