{"id":"W4391880398","doi":"10.1177/09596518241227595","title":"Adaptive event–based finite-time <i>H</i> <sub>∞</sub> filtering for networked systems under hybrid attack","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Event (particle physics); Computer science; Real-time computing; Distributed computing; Physics","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":[0.00113069,0.0002009834,0.0004934803,0.0001961041,0.00007642904,0.0001348572,0.0003856321,0.0001030037,4.033398e-7],"category_scores_gemma":[0.0001419534,0.0001530665,0.0002541396,0.0003225425,0.00003104555,0.0005635381,0.0000590888,0.0002817782,5.180104e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008253044,"about_ca_system_score_gemma":0.0000705849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002571898,"about_ca_topic_score_gemma":7.244717e-8,"domain_scores_codex":[0.9983405,0.00001444443,0.0008286317,0.0001947973,0.0003843308,0.0002372725],"domain_scores_gemma":[0.9987142,0.0003114493,0.0004009379,0.00009938218,0.0003623205,0.0001117077],"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":[0.00005886666,0.00001714977,3.592548e-7,0.0005198033,0.000138127,0.000001538267,0.00002515058,0.9000801,0.06901261,0.02936722,0.000155993,0.0006230409],"study_design_scores_gemma":[0.0007326583,0.0002974424,0.000001475739,0.002699139,0.00007860935,0.00008577183,0.00002097497,0.9681106,0.02588545,0.00009236274,0.001851303,0.0001441986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02948171,0.002680851,0.9641707,0.0001406779,0.003038113,0.0004018871,0.00001212234,0.00006261721,0.00001135868],"genre_scores_gemma":[0.9986552,0.00007475206,0.0007634946,0.00001565897,0.0004438935,0.00002517582,3.581863e-7,0.00001622134,0.000005242705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9691735,"threshold_uncertainty_score":0.6241873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093241839086819,"score_gpt":0.1961987382874801,"score_spread":0.1852663198966119,"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."}}