{"id":"W3136730631","doi":"10.1109/access.2021.3066108","title":"Resilience Estimation of Cyber-Physical Systems via Quantitative Metrics","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; European Commission","keywords":"Resilience (materials science); Computer science; Estimation; Cyber-physical system; Systems engineering; 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":[0.0000866611,0.00008863986,0.0001814108,0.00008983213,0.00003948786,0.00005548995,0.0002376892,0.00004919473,0.000004975703],"category_scores_gemma":[0.0001215175,0.00008505288,0.00004192919,0.0008603429,0.00005423098,0.0003978654,0.00002989039,0.0001112071,0.00002150249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000288865,"about_ca_system_score_gemma":0.00002621553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005851941,"about_ca_topic_score_gemma":0.00001419881,"domain_scores_codex":[0.9992473,0.00003603453,0.0001826744,0.0001442037,0.0002472817,0.0001425571],"domain_scores_gemma":[0.9993645,0.0002355109,0.00004222245,0.0001972,0.000115359,0.00004519833],"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":[0.000004144873,0.00004710497,0.0004634619,0.0002356848,0.00002222742,0.00001863173,0.0005356732,0.9799513,0.01485571,0.002112534,0.0004316153,0.0013219],"study_design_scores_gemma":[0.00008833429,0.0000196441,0.002314209,0.00006124042,0.00001377394,0.000007817307,0.0001004134,0.834194,0.1626609,0.0003364103,0.00009072988,0.0001125144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8161118,0.0007316757,0.1808353,0.00001184355,0.001098926,0.00007785366,0.000008436467,0.00007272216,0.00105145],"genre_scores_gemma":[0.9992177,0.00005697653,0.0005977111,0.000006757168,0.00007186492,0.000009108757,0.000003875183,0.00001018332,0.00002577195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1831059,"threshold_uncertainty_score":0.3468356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02424628705870424,"score_gpt":0.3043444333995016,"score_spread":0.2800981463407974,"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."}}