{"id":"W2134594352","doi":"10.1109/c5.2006.4","title":"A Buffer Framework for Supporting Responsive Interaction in Information Visualization Interfaces","year":2006,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Rendering (computer graphics); Visualization; Human–computer interaction; Information visualization; Coherence (philosophical gambling strategy); Data visualization; Interactive visualization; Distributed computing; User interface; Computer graphics (images); Artificial intelligence; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003154092,0.00007748276,0.00008792119,0.0002894494,0.00005221553,0.0003259452,0.0002099707,0.00005678372,0.0000307423],"category_scores_gemma":[0.0003970638,0.00007324296,0.00002524539,0.0004710452,0.000009308944,0.002544502,0.00007070274,0.00005415368,0.00003479781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005291109,"about_ca_system_score_gemma":0.00003268547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006180311,"about_ca_topic_score_gemma":0.00005538067,"domain_scores_codex":[0.9991382,0.00003721494,0.0004072498,0.0001369109,0.0001316674,0.0001487061],"domain_scores_gemma":[0.9993263,0.0001586043,0.0001824428,0.0001608654,0.0001508036,0.00002101268],"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":[0.00001602311,0.00003783614,0.0007100411,0.00001831867,0.000002610486,3.582535e-7,0.0006268381,0.000788954,0.000117398,0.9869021,0.003103368,0.007676111],"study_design_scores_gemma":[0.0003242434,0.00006551824,0.001309489,0.00006409765,0.000003158481,0.000002676103,0.0005441355,0.9263658,0.007661808,0.04621451,0.01727702,0.0001675801],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01059048,0.000003262661,0.9872793,0.0005408844,0.0002023261,0.00018237,0.00000393578,0.0001122576,0.001085177],"genre_scores_gemma":[0.9384286,0.000003006566,0.06023446,0.0008654163,0.00004323986,0.00002093892,0.000151681,0.000005013075,0.0002476598],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9406877,"threshold_uncertainty_score":0.3143097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967751619441971,"score_gpt":0.3574249920229237,"score_spread":0.337747475828504,"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."}}