{"id":"W4402449473","doi":"10.3390/fi16090331","title":"A Complete EDA and DL Pipeline for Softwarized 5G Network Intrusion Detection","year":2024,"lang":"en","type":"article","venue":"Future Internet","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Pipeline (software); Intrusion detection system; Embedded system; Computer security; Operating system","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":[0.0003642731,0.000183402,0.0001909472,0.0001106451,0.0001412727,0.0004187812,0.0003115941,0.0001556934,0.00005159933],"category_scores_gemma":[0.00002892114,0.0001574121,0.0001012494,0.0003643964,0.00003379346,0.0003903893,0.0001897097,0.0002945776,0.00004808111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004615918,"about_ca_system_score_gemma":0.00002012092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004213609,"about_ca_topic_score_gemma":0.0002035335,"domain_scores_codex":[0.9987048,0.00006300611,0.0002757022,0.0005043845,0.0001610859,0.0002910144],"domain_scores_gemma":[0.9993637,0.0001629837,0.00006037052,0.000255287,0.00006915232,0.0000884884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001613733,0.00002494828,0.0000093852,0.0001198428,0.00004483847,0.00001391589,0.001159871,0.00007993874,0.003028132,0.02870083,0.079642,0.8870149],"study_design_scores_gemma":[0.0002278763,0.000161665,0.00004120599,0.00008926284,0.00001078441,0.00006284242,0.00000930229,0.4647302,0.0007828778,0.009136009,0.5246103,0.0001376276],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007259642,0.001826051,0.9786682,0.001547362,0.009519476,0.0003471055,0.000008429491,0.0005945083,0.0002292718],"genre_scores_gemma":[0.9638035,0.0002793953,0.02386546,0.001234966,0.009446079,0.00009091007,0.00003178336,0.00003493356,0.001212942],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9565439,"threshold_uncertainty_score":0.641908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050679855486119,"score_gpt":0.2304036726099322,"score_spread":0.219896874055071,"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."}}