{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002643579,0.0003600646,0.0003732075,0.0004553101,0.0004174414,0.001449823,0.001496224,0.0002354201,0.00006898904],"category_scores_gemma":[0.001475829,0.0003661801,0.0001409813,0.0004177747,0.0001808247,0.0009368172,0.003484702,0.0004858743,0.00005673034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608136,"about_ca_system_score_gemma":0.000214123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002135286,"about_ca_topic_score_gemma":0.0002022726,"domain_scores_codex":[0.9945008,0.003096524,0.0006193788,0.001034804,0.0004001124,0.0003483607],"domain_scores_gemma":[0.9942344,0.00147603,0.0007177668,0.001717682,0.00163542,0.0002187371],"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":[0.000006635217,0.0004795248,0.001036934,0.0002065829,0.0001502848,0.000008691202,0.01363125,0.00005179277,0.001672741,0.9012828,0.002252226,0.07922058],"study_design_scores_gemma":[0.001195639,0.000002055586,0.00184671,0.008398176,0.0001171768,0.00006643124,0.00061415,0.8429668,0.03496359,0.04819544,0.05998341,0.00165042],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003689076,0.0002861967,0.970829,0.007002639,0.0004536346,0.0002647448,0.00004786747,0.0004589232,0.01696792],"genre_scores_gemma":[0.943276,0.001146085,0.04965435,0.000571659,0.00006812922,0.00005848627,0.0005383608,0.00007114163,0.004615732],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.939587,"threshold_uncertainty_score":0.999879,"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."}}