{"id":"W2971737919","doi":"10.1109/codit.2019.8820512","title":"Security Index of Linear Cyber-Physical Systems: A Geometric Perspective","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Cyber-physical system; Theoretical computer science; Perspective (graphical); Representation (politics); Index (typography); Time complexity; Vulnerability (computing); Dimension (graph theory); Linear system; Polynomial; Upper and lower bounds; Algorithm; Mathematics; Computer security; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00007455484,0.0001048745,0.000223879,0.0001797287,0.00001788028,0.00001000804,0.0001432306,0.00007248547,0.00006311294],"category_scores_gemma":[0.00002977267,0.00008786542,0.00007225834,0.0006371999,0.00003529124,0.000102055,0.0000339614,0.0001817492,0.0002106464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000617019,"about_ca_system_score_gemma":0.00001562376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002783299,"about_ca_topic_score_gemma":0.000009489047,"domain_scores_codex":[0.9993117,0.00001585942,0.0001328321,0.0001470906,0.000214413,0.0001780391],"domain_scores_gemma":[0.9995387,0.00008910152,0.00002071499,0.0002094475,0.00008519019,0.00005685597],"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":[0.00009617802,0.0009930988,0.07336731,0.002321066,0.0006277622,0.0000333076,0.02394686,0.7144103,0.01134861,0.1672325,0.00514895,0.0004740749],"study_design_scores_gemma":[0.000700813,0.0001887363,0.01310821,0.00008334357,0.00002274472,0.00001629023,0.00672205,0.9656476,0.01013067,0.0006662342,0.002273814,0.0004394852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626076,0.0004382286,0.0009067568,0.00001084453,0.000481005,0.0001878028,0.000007487329,0.0001456104,0.0352147],"genre_scores_gemma":[0.9995731,0.00002547456,0.00002037248,0.000005815177,0.000158367,0.000004674574,9.404735e-7,0.00001233044,0.0001989642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2512373,"threshold_uncertainty_score":0.3583048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004485438670488465,"score_gpt":0.2140522940828825,"score_spread":0.2095668554123941,"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."}}