{"id":"W2533555613","doi":"10.1007/978-3-319-49109-7_83","title":"NetFlow: Network Monitoring and Intelligence Gathering","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes on data engineering and communications technologies","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"NetFlow; Computer science; Network monitoring; Key (lock); Virtualization; Enterprise private network; Fault management; Network management; Network administrator; Network security; Computer network; Data science; Computer security; Engineering; Operating system; Cloud computing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000179262,0.0003083323,0.0002497178,0.0001759831,0.0002849863,0.0001868425,0.003112942,0.0003971026,0.000001895005],"category_scores_gemma":[0.0001822096,0.0002552426,0.00002726902,0.0001121149,0.000158139,0.0002595206,0.004414364,0.0008364035,0.00000864134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003314389,"about_ca_system_score_gemma":0.00001279476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003353811,"about_ca_topic_score_gemma":0.000006410671,"domain_scores_codex":[0.9988867,0.00001132986,0.0002296226,0.0005123539,0.0001261572,0.0002338417],"domain_scores_gemma":[0.9948138,0.0006060199,0.0001065769,0.004403631,0.00003483417,0.00003514121],"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":[0.000001808312,0.000003826129,0.00000444435,0.00002362549,0.00002823325,0.000001452772,0.00003303107,0.001186205,0.00005480227,0.206183,0.00003661272,0.792443],"study_design_scores_gemma":[0.0001558882,0.0002942411,0.00003822378,0.003569065,0.00006687624,0.0001050369,0.00001396998,0.1894513,0.002064235,0.2838811,0.5188568,0.001503358],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00004816321,0.04633849,0.9423048,0.003924584,0.0004200512,0.0002654579,0.00003570798,0.002795052,0.003867659],"genre_scores_gemma":[0.4166639,0.2202413,0.3610596,0.0001106557,0.0005191619,0.00007912614,0.00006930764,0.0001393637,0.001117554],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7909396,"threshold_uncertainty_score":0.99999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03594786157803858,"score_gpt":0.2475510848854265,"score_spread":0.211603223307388,"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."}}