{"id":"W1983576710","doi":"10.1177/1548512912464532","title":"Visual Analytics for cyber security and intelligence","year":2014,"lang":"en","type":"article","venue":"The Journal of Defense Modeling and Simulation Applications Methodology Technology","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Visual analytics; Computer science; Visualization; Intelligence analysis; Data science; Context (archaeology); Set (abstract data type); Analytics; Information visualization; Information overload; State (computer science); Computer security; World Wide Web; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002688727,0.001202366,0.0007804869,0.00431493,0.0008407704,0.008466817,0.001231636,0.001436178,0.009666852],"category_scores_gemma":[0.007629549,0.0005340498,0.0009247128,0.004551255,0.001897839,0.006009856,0.002831144,0.002209611,0.001932685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405158,"about_ca_system_score_gemma":0.001511786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002944603,"about_ca_topic_score_gemma":0.002185309,"domain_scores_codex":[0.9982698,0.0007227346,0.0001527755,0.0002226972,0.0005525108,0.00007942794],"domain_scores_gemma":[0.9960608,0.002135679,0.0002528349,0.0005440522,0.0008137168,0.0001929535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001120616,0.00007438105,0.001216561,0.002162477,0.0001540877,0.0001737485,0.001596613,0.01195433,0.007470433,0.4164787,0.05626485,0.5023418],"study_design_scores_gemma":[0.00003428662,0.0000597922,0.001500764,0.001025381,0.00004846291,0.0003128239,0.001148825,0.0586067,0.003571987,0.6175962,0.3160088,0.00008591399],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008812532,0.05872082,0.865136,0.01298692,0.001135833,0.0003473799,0.002519024,0.007215533,0.04312598],"genre_scores_gemma":[0.1765288,0.04830861,0.7563028,0.001587293,0.00149035,0.0005318968,0.004014602,0.001171817,0.01006384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009666852,"threshold_uncertainty_score":0.03233886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09619512117421646,"score_gpt":0.3999956883332149,"score_spread":0.3038005671589984,"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."}}