{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003598149,0.001275192,0.001083462,0.00121983,0.001890584,0.007086876,0.004807763,0.002271244,0.007846982],"category_scores_gemma":[0.008123064,0.001024315,0.00121139,0.0009008586,0.002534002,0.008952696,0.00519404,0.002660527,0.00132324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509045,"about_ca_system_score_gemma":0.002349709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004045637,"about_ca_topic_score_gemma":0.003864004,"domain_scores_codex":[0.9986009,0.0005082153,0.0001326246,0.0002048341,0.000373867,0.0001795619],"domain_scores_gemma":[0.9970255,0.001569453,0.0001790732,0.0004625251,0.0003629477,0.0004003439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003903293,0.0001851462,0.0006158312,0.0004442448,0.00006772564,0.0005729615,0.003930665,0.04255696,0.03033651,0.8055163,0.008825494,0.1065579],"study_design_scores_gemma":[0.0001695849,0.0002348424,0.0002529539,0.0002394411,0.0001227512,0.0005379844,0.0008005801,0.48165,0.02336147,0.3758573,0.1165532,0.0002200322],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002016235,0.0001976459,0.9939635,0.0002539322,0.00005337459,0.00006655574,0.00004193361,0.00185547,0.001551266],"genre_scores_gemma":[0.1131682,0.0005592267,0.8804021,0.000251127,0.00009428972,0.0006568202,0.0001601778,0.0007123748,0.003995704],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007846982,"threshold_uncertainty_score":0.02625078,"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."}}