{"id":"W2381994672","doi":"","title":"Study on Abnormal Detection Based on System Call and Data Mining Technique","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Intrusion detection system; Focus (optics); Data mining; System call; Anomaly-based intrusion detection system; Field (mathematics); Data stream mining; Computer security; Operating system","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":[0.0008502339,0.0001603179,0.0001319533,0.0002524059,0.0004019215,0.0001587785,0.0008658711,0.00008672202,7.958224e-7],"category_scores_gemma":[9.073011e-7,0.000158912,0.00002476757,0.0005186801,0.00002515404,0.0002212152,0.0003809167,0.0002152022,0.00002878289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008086805,"about_ca_system_score_gemma":0.00001885157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002297457,"about_ca_topic_score_gemma":0.00004412938,"domain_scores_codex":[0.998507,0.00006795005,0.00028638,0.0007066831,0.0001994567,0.0002325711],"domain_scores_gemma":[0.99848,0.0001574611,0.0001034302,0.001111936,0.00005476653,0.00009240485],"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":[0.0000413174,0.000715442,0.0003546666,0.0000408273,0.00002186838,0.00001903017,0.0005685781,0.0003937361,0.006160196,0.002877809,0.0006541958,0.9881523],"study_design_scores_gemma":[0.002371484,0.002628726,0.02985179,0.0002685675,0.00005903503,0.0003814831,0.0005310791,0.6783356,0.06714999,0.000179027,0.2168786,0.00136467],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01563324,0.00001192021,0.9816425,0.00008295203,0.00005919464,0.001326986,0.000004831042,0.000416624,0.0008217438],"genre_scores_gemma":[0.8730754,8.687293e-7,0.1261816,0.0002744231,0.0002043391,0.0002328876,0.000009343536,0.0000111433,0.00001004206],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9867877,"threshold_uncertainty_score":0.6480243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087039419429923,"score_gpt":0.2729257804698165,"score_spread":0.2520553862755173,"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."}}