{"id":"W4414446745","doi":"10.38124/ijsrmt.v2i6.826","title":"Evaluating The Impact of AI-Powered Anomaly Detection On Reducing Cybersecurity Breaches in Government Systems","year":2023,"lang":"en","type":"article","venue":"International Journal of Scientific Research and Modern Technology.","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Anomaly detection; Government (linguistics); Workflow; Quality (philosophy); Corporate governance; Intrusion detection system","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":[0.005980334,0.00007863902,0.000138823,0.001176764,0.0002210743,0.0003533283,0.00105682,0.00008919933,0.000002600566],"category_scores_gemma":[0.0004810637,0.00005329279,0.00006993416,0.00140231,0.0003349493,0.0004281277,0.0003642314,0.0006851767,0.00000417381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000333047,"about_ca_system_score_gemma":0.000144251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001904021,"about_ca_topic_score_gemma":0.00004188494,"domain_scores_codex":[0.9972669,0.0001765073,0.0004224642,0.0002614775,0.001616834,0.0002557662],"domain_scores_gemma":[0.9984388,0.0002158073,0.0002510237,0.0002787231,0.0007648976,0.00005070449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004912756,0.0003617033,0.002826293,0.00002331451,0.0001703758,0.00007552071,0.00318793,0.01902995,0.284121,0.01110025,0.0005537367,0.6780587],"study_design_scores_gemma":[0.0006269236,0.001773691,0.007480019,0.000353872,0.000002523437,0.0002150304,0.0004931733,0.8992729,0.03705972,0.05254139,0.00009001255,0.00009081181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927892,0.00023527,0.004360676,0.001403331,0.0009337303,0.000150504,0.00000370317,0.00002526232,0.00009834225],"genre_scores_gemma":[0.9996428,0.00008548509,0.0001178508,0.000003655065,0.00006699171,0.000007975034,4.195318e-7,0.000003968021,0.00007089304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8802429,"threshold_uncertainty_score":0.3407153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09140407425389417,"score_gpt":0.4158057200974369,"score_spread":0.3244016458435428,"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."}}