{"id":"W1780629261","doi":"","title":"Combination of Three Machine Learning Algorithms for Intrusion Detection Systems in Computer Networks","year":2012,"lang":"en","type":"article","venue":"Journal of academic and applied studies","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Intrusion detection system; Artificial intelligence; Algorithm; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001196151,0.00009555924,0.0003121094,0.0001613659,0.0001296217,0.00001543901,0.0001322154,0.0001202791,2.109735e-7],"category_scores_gemma":[0.00002989354,0.00007532657,0.00004027862,0.0002121611,0.00004021951,0.0003418453,0.0001224481,0.0005047275,1.535017e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003606582,"about_ca_system_score_gemma":0.000006176227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004672365,"about_ca_topic_score_gemma":0.000002478851,"domain_scores_codex":[0.9990079,0.00004907075,0.0005095883,0.00009644774,0.000169388,0.0001676013],"domain_scores_gemma":[0.999056,0.0002256711,0.0005343361,0.00004864898,0.00009190648,0.00004336874],"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":[0.0001921541,0.00009357244,0.004422912,0.0001653364,0.0001307581,6.416575e-7,0.003515235,0.03527856,0.003416402,0.01272204,0.0001412232,0.9399211],"study_design_scores_gemma":[0.001280304,0.000486513,0.005540948,0.0002036748,0.00002935922,0.00005826123,0.000291561,0.9861653,0.002013795,0.002910659,0.0008762195,0.0001433791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2231177,0.01216246,0.7635224,0.00009000014,0.0009276555,0.0001584479,2.012292e-7,0.00001119577,0.000009977749],"genre_scores_gemma":[0.9927738,0.003332516,0.003273438,0.0000303385,0.000575238,0.000007627082,2.956973e-7,0.000004678249,0.000002062733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9508868,"threshold_uncertainty_score":0.3071728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03091034381710234,"score_gpt":0.2728348348463739,"score_spread":0.2419244910292716,"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."}}