{"id":"W2622834624","doi":"","title":"LIVVIL: Logging Interactive Visualizations and Visualizing Interaction Logs","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Visualization; Computer science; Usability; Logging; Web application; Process (computing); Data visualization; World Wide Web; Human–computer interaction; Scale (ratio); Data mining","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":[0.002038873,0.002722796,0.00129102,0.003817318,0.0008269661,0.004841532,0.002865875,0.001225849,0.0373634],"category_scores_gemma":[0.01084104,0.001220055,0.001151583,0.001974003,0.00070929,0.003425906,0.004889397,0.002190982,0.01015047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006325256,"about_ca_system_score_gemma":0.00142364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004877503,"about_ca_topic_score_gemma":0.007556969,"domain_scores_codex":[0.9984292,0.0003177197,0.0001546943,0.0002976659,0.0006627348,0.0001378467],"domain_scores_gemma":[0.9948543,0.002288594,0.0002333077,0.001280454,0.0006909424,0.0006524322],"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":[0.00303754,0.000468445,0.006280319,0.003454363,0.0003522216,0.0006040877,0.003828436,0.005026482,0.04436855,0.006632091,0.3787958,0.5471517],"study_design_scores_gemma":[0.001394326,0.000833291,0.01795454,0.001612389,0.0003844374,0.0009884225,0.001858177,0.276865,0.1374843,0.02986778,0.5298813,0.0008760806],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.009177942,0.0005247618,0.2847541,0.0003854769,0.000438388,0.0006406399,0.02419878,0.6748388,0.005041032],"genre_scores_gemma":[0.2126362,0.001393328,0.5581984,0.001038834,0.0003547527,0.004064193,0.08736371,0.1096381,0.02531245],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0373634,"threshold_uncertainty_score":0.1249931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02215906499644438,"score_gpt":0.2990032049235111,"score_spread":0.2768441399270667,"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."}}