{"id":"W2008795456","doi":"10.1109/tvcg.2012.255","title":"RelEx: Visualization for Actively Changing Overlay Network Specifications","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Software deployment; Visualization; Computer science; Summative assessment; Usability; Human–computer interaction; Process (computing); Domain (mathematical analysis); Data visualization; Software engineering; Formative assessment; Data mining; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006908538,0.001877389,0.0006847709,0.001778212,0.000763008,0.003708174,0.002690588,0.001472903,0.006391222],"category_scores_gemma":[0.02505359,0.0009198192,0.001020671,0.000795238,0.001071656,0.005439136,0.004275357,0.00207595,0.001204674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007431821,"about_ca_system_score_gemma":0.001071077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001535848,"about_ca_topic_score_gemma":0.002597689,"domain_scores_codex":[0.9960251,0.002165611,0.0003007296,0.000412867,0.0009217529,0.000173957],"domain_scores_gemma":[0.9838022,0.01064379,0.0007509621,0.003047993,0.00133933,0.0004157534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001647618,0.0009279643,0.01297724,0.003647601,0.0002588224,0.003425736,0.03230326,0.1447735,0.09951822,0.1358701,0.06530419,0.4993457],"study_design_scores_gemma":[0.0004667482,0.0009273287,0.00476045,0.0007540449,0.0001177814,0.00166968,0.004654028,0.6205347,0.06324715,0.05482924,0.2476703,0.0003685794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05832514,0.0002579314,0.8937317,0.0008419175,0.0001162056,0.0004669607,0.001137867,0.03941702,0.005705229],"genre_scores_gemma":[0.2112994,0.0003232968,0.7779299,0.0001796799,0.00002583092,0.0006775864,0.001951375,0.004033957,0.003579027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006908538,"threshold_uncertainty_score":0.03653628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05032843922240114,"score_gpt":0.3053206346063957,"score_spread":0.2549921953839945,"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."}}