{"id":"W2133232958","doi":"10.1109/waina.2009.12","title":"TCP/IP Model and Intrusion Detection Systems","year":2009,"lang":"en","type":"article","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Intrusion detection system; Application layer; Network layer; Internet protocol suite; Network security; Layer (electronics); The Internet; Data mining; Operating system; Software","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":[0.0001766008,0.00008283398,0.00008686873,0.00008418031,0.0001768518,0.0001799195,0.0001629481,0.00007502356,0.000004369962],"category_scores_gemma":[0.000008923492,0.00007078314,0.00002147459,0.0002178802,0.00001169581,0.00055251,0.00006874952,0.0001033096,0.00001845537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002452466,"about_ca_system_score_gemma":0.00000906778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000323866,"about_ca_topic_score_gemma":0.00001588483,"domain_scores_codex":[0.999285,0.00003225099,0.0001404749,0.0002462345,0.0001500364,0.000146029],"domain_scores_gemma":[0.9996083,0.00001499495,0.00004039591,0.0002258493,0.00004097354,0.00006951084],"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":[0.00001723708,0.00004377282,0.000007155901,0.000009465696,0.000003967312,0.000002889332,0.0003381316,0.01166406,0.0168999,0.1401545,0.0008779567,0.829981],"study_design_scores_gemma":[0.0001211863,0.0001395439,0.0002761517,0.000009848438,0.000001672133,0.00003573936,0.000007673162,0.9836616,0.002910333,0.01139705,0.001341708,0.00009749279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1171049,0.0001668091,0.8775591,0.0003878502,0.0003879565,0.0001096639,1.180503e-7,0.0002811495,0.004002518],"genre_scores_gemma":[0.9954088,0.00008602005,0.003685734,0.0003837954,0.00009283971,0.000003162373,2.242668e-7,0.00000244104,0.0003369526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9719976,"threshold_uncertainty_score":0.2886453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138805688756998,"score_gpt":0.2132454212907285,"score_spread":0.2018573644031585,"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."}}