{"id":"W2158943277","doi":"10.1109/tvcg.2008.175","title":"VisGets: Coordinated Visualizations for Web-based Information Exploration and Discovery","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Information retrieval; Web navigation; World Wide Web; RSS; Filter (signal processing); Exploratory search; Web search query; Visualization; Web page; Data visualization; Dimension (graph theory); Search engine; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001841293,0.001753188,0.001011388,0.003254798,0.0007793746,0.004649756,0.001357389,0.001352147,0.01098983],"category_scores_gemma":[0.009667491,0.0008052494,0.001126466,0.002450597,0.0007846782,0.004579508,0.005113581,0.001763828,0.001959249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005191091,"about_ca_system_score_gemma":0.0007111297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0023055,"about_ca_topic_score_gemma":0.003133239,"domain_scores_codex":[0.9990714,0.0003886021,0.00008223215,0.0001157505,0.0002601414,0.00008195922],"domain_scores_gemma":[0.9955692,0.002704052,0.000274887,0.0006305489,0.0004732133,0.0003482365],"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":[0.003567677,0.0004537367,0.007858132,0.002688487,0.0003952981,0.001319859,0.009814763,0.02401432,0.0782311,0.08553024,0.1148472,0.6712792],"study_design_scores_gemma":[0.0006420211,0.0008178957,0.007681282,0.0009512277,0.000291597,0.001671787,0.003793053,0.3632571,0.06464694,0.1681755,0.3874883,0.000583266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01998484,0.001299863,0.9083993,0.0008064612,0.0001716136,0.0003215592,0.003364645,0.05993368,0.005718047],"genre_scores_gemma":[0.1606007,0.001305641,0.8244753,0.0003140298,0.0001157954,0.0008017748,0.004078789,0.005015922,0.00329193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01098983,"threshold_uncertainty_score":0.03676462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577688320399458,"score_gpt":0.2634437113893258,"score_spread":0.2376668281853312,"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."}}