{"id":"W2966541941","doi":"10.1109/tvcg.2019.2934283","title":"What is Interaction for Data Visualization?","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Visualization; Computer science; Visual analytics; Information visualization; Human–computer interaction; Data visualization; Context (archaeology); Data science; Confusion; Field (mathematics); Artificial intelligence; Psychology; Mathematics","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":[0.02145633,0.001999115,0.002193793,0.005504861,0.006280741,0.02718052,0.003610786,0.00758526,0.008054269],"category_scores_gemma":[0.04892412,0.001320904,0.002099644,0.005999047,0.02845675,0.03748583,0.009242719,0.008664638,0.00270986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00425409,"about_ca_system_score_gemma":0.004478669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003695877,"about_ca_topic_score_gemma":0.001751476,"domain_scores_codex":[0.9536619,0.03045391,0.002909672,0.004256843,0.007024528,0.001693184],"domain_scores_gemma":[0.9470921,0.03601615,0.002680412,0.005554159,0.006480212,0.002176953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001240942,0.00005411074,0.002438859,0.002515835,0.0001177993,0.0003867104,0.02389672,0.00110744,0.001710093,0.8340197,0.02704395,0.1065847],"study_design_scores_gemma":[0.00003947717,0.0000801459,0.001881488,0.00306879,0.0001014822,0.001442641,0.008687925,0.003015878,0.00125948,0.64845,0.3318123,0.000160354],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008943788,0.06148867,0.6716775,0.1644309,0.004307278,0.0003379888,0.0006829334,0.002275294,0.08585571],"genre_scores_gemma":[0.4301212,0.05589284,0.4623199,0.02303431,0.006157786,0.002286821,0.001149246,0.002760674,0.01627723],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02718052,"threshold_uncertainty_score":0.1134733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04465670589119501,"score_gpt":0.3459959198558761,"score_spread":0.3013392139646811,"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."}}