{"id":"W4415359990","doi":"10.59934/jaiea.v5i1.1547","title":"Implementation of Isolation Forest-Based Machine Learning in Batch Anomaly Detection on Zeek Log Data (Case Study: Langkat Regency Communication and Information Agency)","year":2025,"lang":"","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Isolation (microbiology); Anomaly detection; Context (archaeology); Proxy (statistics); Network security; F1 score; Intrusion detection system; Information security","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":[0.001269397,0.0002144268,0.000300966,0.001078215,0.0003175759,0.0002004402,0.0005156608,0.0001270118,0.000006707288],"category_scores_gemma":[0.00008098571,0.0002349677,0.00005589044,0.001466905,0.00006673379,0.001436106,0.0001957452,0.0004894563,0.0000022274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001127316,"about_ca_system_score_gemma":0.0001296461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001172774,"about_ca_topic_score_gemma":0.0007574029,"domain_scores_codex":[0.9977018,0.0001101016,0.001469008,0.0002987933,0.0002351552,0.000185123],"domain_scores_gemma":[0.9977958,0.0002476417,0.0008312837,0.0006911958,0.0003597781,0.00007428583],"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":[0.00006834776,0.0003637969,0.005360683,0.0001596395,0.00005542907,0.000005316412,0.001651046,0.05300891,0.002270922,0.01019244,0.000008290684,0.9268552],"study_design_scores_gemma":[0.0002182305,0.0008199186,0.009615959,0.0001647078,0.0001051841,0.00008240266,0.003064614,0.9726134,0.01069134,0.001446364,0.000945875,0.000232044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2618007,0.0003415567,0.7366204,0.0004052752,0.00005758107,0.0007093296,0.00001310275,0.00003502418,0.0000169553],"genre_scores_gemma":[0.9873343,0.0007119334,0.0117574,0.00002692591,0.00003489306,0.00009601428,0.00002261752,0.00001056112,0.000005356538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9266231,"threshold_uncertainty_score":0.9581703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03348309721170299,"score_gpt":0.3194467741454988,"score_spread":0.2859636769337958,"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."}}