{"id":"W2133389611","doi":"10.5539/mas.v5n6p218","title":"Mobile Agents in Intrusion Detection System: Review and Analysis","year":2011,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intrusion detection system; Intrusion; Computer science; Intrusion prevention system; Computer security; System administrator; Network administrator; Anomaly-based intrusion detection system; Host-based intrusion detection system; Task (project management); Intervention (counseling); Engineering; Medicine; Geology","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":[0.001086702,0.0001123178,0.0002213976,0.0004460894,0.0002640153,0.00008544461,0.0006383571,0.00004665182,0.00001499229],"category_scores_gemma":[0.00001028213,0.0001016506,0.00003585094,0.003465409,0.0001359378,0.0005128317,0.0003746283,0.0001311102,0.00002279887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000107499,"about_ca_system_score_gemma":0.00002810851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007608313,"about_ca_topic_score_gemma":0.00006306282,"domain_scores_codex":[0.9984845,0.00003767275,0.0002562024,0.0006058672,0.0003467061,0.0002690549],"domain_scores_gemma":[0.9992467,0.00001059464,0.0001039502,0.0004826154,0.00005066821,0.0001054713],"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":[0.00002868605,0.0001880967,0.0009336032,0.0005512915,0.00004336991,0.00001442026,0.007528553,0.0003946043,0.07160196,0.01455545,0.00004062507,0.9041193],"study_design_scores_gemma":[0.0001724669,0.00008313944,0.006774941,0.000102211,0.00008024936,0.0000150275,0.00003682628,0.977766,0.01198603,0.00246203,0.0002695814,0.0002514714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04891611,0.00117613,0.943759,0.00001067961,0.0001497301,0.000440063,4.453035e-7,0.0001399697,0.005407822],"genre_scores_gemma":[0.9941171,0.0005683795,0.005008928,0.0001978286,0.000009910775,0.00008001372,3.184703e-7,0.000003297648,0.0000142028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9773714,"threshold_uncertainty_score":0.4145191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509867350458532,"score_gpt":0.2435675436363365,"score_spread":0.2184688701317512,"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."}}