{"id":"W4402328514","doi":"10.1016/j.jfranklin.2024.107264","title":"A randomized algorithm based approach to fault detection for uncertain systems subject to deception attack","year":2024,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Deception; Subject (documents); Computer science; Algorithm; Fault (geology); Artificial intelligence; Psychology; Machine learning; Social psychology","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":[0.001244826,0.0001503242,0.0003740512,0.0002437224,0.0001185644,0.0001417144,0.0002891408,0.0001000997,0.000001997487],"category_scores_gemma":[0.0002434651,0.00009462453,0.0003451887,0.000476943,0.00004029853,0.0002069074,0.00001842033,0.0002768267,0.00001512853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001778184,"about_ca_system_score_gemma":0.00007288068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002603549,"about_ca_topic_score_gemma":0.00002017855,"domain_scores_codex":[0.9988071,0.00008825472,0.0004695749,0.0001316084,0.0003080516,0.0001954201],"domain_scores_gemma":[0.9993665,0.0001796412,0.00006027615,0.0001585991,0.0001186581,0.0001163479],"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":[0.001772694,0.00001917944,0.000001007635,0.0002281729,0.00009876754,0.000003956585,0.0004286364,0.9869605,0.001894915,0.00006573374,0.002085068,0.00644137],"study_design_scores_gemma":[0.008772742,0.00006046173,0.00001162821,0.0004109406,0.00009685029,0.00008422961,0.00006156418,0.9181102,0.002929444,0.00004424941,0.06927839,0.0001393223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05772371,0.001015388,0.9278325,0.0002234134,0.01175337,0.001192015,0.00001436457,0.00007481362,0.0001704221],"genre_scores_gemma":[0.9835464,0.00005001665,0.01435271,0.0001233587,0.001581889,0.0001907852,0.00000201943,0.00002941547,0.0001233991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9258227,"threshold_uncertainty_score":0.3858676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0214360508350455,"score_gpt":0.2639857763408155,"score_spread":0.24254972550577,"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."}}