{"id":"W2043623491","doi":"10.1145/2480362.2480528","title":"Reducing data transfer for charts on adaptive web sites","year":2013,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Automatic summarization; Visualization; JavaScript; Data visualization; Data mining; Data extraction; Web application; Client-side; Transfer (computing); Data compression; Data transmission; Database; Information retrieval; Artificial intelligence; World Wide Web; Computer hardware","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":[0.00134167,0.001426891,0.0009758473,0.002842658,0.0008041234,0.002383827,0.001538589,0.0007438387,0.009464732],"category_scores_gemma":[0.01638094,0.0004547698,0.000881633,0.003802734,0.0006855936,0.003113834,0.001947774,0.001330663,0.002518182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008077302,"about_ca_system_score_gemma":0.0009952901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002632871,"about_ca_topic_score_gemma":0.002231025,"domain_scores_codex":[0.9975576,0.0004207436,0.0001756201,0.0003599811,0.001333675,0.0001523085],"domain_scores_gemma":[0.987987,0.005744176,0.0005838605,0.003709717,0.001649927,0.0003254083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001073627,0.0005583108,0.007125075,0.0005234546,0.000111288,0.0007153933,0.001563067,0.0405257,0.08262954,0.006968211,0.02416324,0.8340431],"study_design_scores_gemma":[0.0003039773,0.0008921337,0.02923972,0.0001509243,0.0001832437,0.0009412239,0.00236447,0.5923849,0.2946081,0.02642341,0.05230425,0.0002036118],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3161933,0.0008348558,0.5951951,0.001078483,0.0003520797,0.0006329148,0.0031923,0.0740585,0.008462449],"genre_scores_gemma":[0.5853565,0.0007462795,0.3971646,0.0001864376,0.0001787155,0.0005141255,0.005908429,0.004423376,0.005521684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009464732,"threshold_uncertainty_score":0.0316627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1105930595105768,"score_gpt":0.3239268665238361,"score_spread":0.2133338070132592,"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."}}