{"id":"W3185213024","doi":"10.5120/ijca2021921489","title":"A Hybrid Data Mining Model for Intrusion Detection","year":2021,"lang":"en","type":"article","venue":"International Journal of Computer Applications","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Intrusion detection system; Data mining; Intrusion; Data science; Geology","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":[0.0003737283,0.00009258898,0.0001360849,0.0001723958,0.0001293316,0.0002573034,0.001785523,0.00004027152,0.000007056227],"category_scores_gemma":[0.00003790211,0.00009447934,0.0001011921,0.000172993,0.00001942788,0.0009137747,0.0006297236,0.0001444796,0.000005737406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006946595,"about_ca_system_score_gemma":0.0001721576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001335247,"about_ca_topic_score_gemma":0.000007435332,"domain_scores_codex":[0.9987043,0.00003621601,0.0004741178,0.000278999,0.000387012,0.0001194181],"domain_scores_gemma":[0.9976343,0.0001553766,0.0003573347,0.0005147298,0.001263449,0.00007478945],"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":[0.00002781487,0.0001614108,0.000008472506,0.000006685757,0.00009939121,0.00001232453,0.0001994866,0.01506039,0.002547288,0.01179265,0.004303435,0.9657807],"study_design_scores_gemma":[0.0003877447,0.00004050672,0.00003419171,0.0000253324,0.0000123108,0.000535914,0.000004938619,0.9262283,0.004529004,0.01560085,0.05251258,0.00008828054],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003511227,0.0001313173,0.992983,0.001826896,0.001291074,0.0001243037,0.00002044095,0.00003942276,0.00007227434],"genre_scores_gemma":[0.4593762,0.0001028472,0.5381963,0.0006383199,0.001572717,0.00002225548,0.00003568757,0.000008896923,0.00004671005],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9656923,"threshold_uncertainty_score":0.3852755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03615091020081107,"score_gpt":0.2988858283746535,"score_spread":0.2627349181738424,"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."}}