{"id":"W2132068130","doi":"10.1109/tvcg.2011.144","title":"A Survey of Visualization Systems for Network Security","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":277,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Visualization; Computer science; Data visualization; Data science; Information visualization; Network security; Visual analytics; Table (database); Creative visualization; Data mining; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006791238,0.001556577,0.001742628,0.009802362,0.001612774,0.006878007,0.002546002,0.001687437,0.01069074],"category_scores_gemma":[0.02020678,0.001312508,0.00174218,0.016335,0.001121857,0.008890104,0.002313088,0.002413806,0.003134297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001897922,"about_ca_system_score_gemma":0.001582409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003075703,"about_ca_topic_score_gemma":0.00240429,"domain_scores_codex":[0.9949371,0.001813835,0.0005798473,0.0005388702,0.001912754,0.0002175817],"domain_scores_gemma":[0.986739,0.007965458,0.0007013638,0.00142178,0.002864966,0.0003073842],"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":[0.0001370831,0.00008364383,0.00225831,0.006163032,0.0001357223,0.000166688,0.001671951,0.003073234,0.002771424,0.04746496,0.07021119,0.8658628],"study_design_scores_gemma":[0.00004480507,0.0001824987,0.004685779,0.007097144,0.0001701419,0.001984633,0.001089368,0.02064552,0.007304723,0.04647364,0.910086,0.0002357797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00961896,0.3755821,0.5524295,0.006461388,0.001052764,0.0005745209,0.001973617,0.01344114,0.03886598],"genre_scores_gemma":[0.06570267,0.4265673,0.4867762,0.001290968,0.001293931,0.000778825,0.003491152,0.003358934,0.01073995],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01069074,"threshold_uncertainty_score":0.03591591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0549474450495887,"score_gpt":0.3004989653267069,"score_spread":0.2455515202771182,"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."}}