{"id":"W2020209128","doi":"10.1057/ivs.2010.9","title":"Accommodating IPv6 Addresses in Security Visualization Tools","year":2010,"lang":"en","type":"article","venue":"Information Visualization","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; IPv6; IPv4; Visualization; Network security; The Internet; Computer security; Data science; World Wide Web; Data mining","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000734399,0.0002007873,0.000194109,0.0006564715,0.0001896513,0.001212215,0.0007013177,0.0001717099,0.0001422199],"category_scores_gemma":[0.0009916885,0.000214057,0.00004588908,0.001832449,0.00003797824,0.01335439,0.0002261363,0.000204024,0.0002030561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005374512,"about_ca_system_score_gemma":0.0001253892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003845708,"about_ca_topic_score_gemma":0.0001080068,"domain_scores_codex":[0.9979628,0.0001010186,0.0008680288,0.0002394482,0.0005351692,0.0002934951],"domain_scores_gemma":[0.998425,0.0001104429,0.0004279236,0.0005127935,0.0004192146,0.0001046372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004704067,0.0001059648,0.007091328,0.00006517735,0.000006378342,9.800352e-7,0.003375932,0.0006943691,0.000349974,0.9697815,0.001814952,0.01670873],"study_design_scores_gemma":[0.0007514841,0.00003622167,0.007881093,0.00005170492,0.000005759522,0.000009001124,0.0002926711,0.9364627,0.003200179,0.003727627,0.04717818,0.0004034049],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04058947,0.000006477751,0.951739,0.0001906525,0.0006712034,0.0003592967,0.00002842957,0.0004828685,0.00593259],"genre_scores_gemma":[0.994264,0.00002909318,0.002786012,0.001327345,0.00008514705,0.00003030785,0.001434867,0.00001371003,0.0000294824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9660539,"threshold_uncertainty_score":0.9998246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02205758137538612,"score_gpt":0.3239579858245105,"score_spread":0.3019004044491244,"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."}}