{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003227127,0.0002612718,0.0002497627,0.0004973217,0.0002977535,0.001186581,0.0008072673,0.0001363157,0.00006165023],"category_scores_gemma":[0.000003960209,0.0002696916,0.00008909055,0.0009709615,0.00004653813,0.003630382,0.00002785665,0.000123937,0.00005440726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002598959,"about_ca_system_score_gemma":0.00005823878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007528031,"about_ca_topic_score_gemma":0.00001030294,"domain_scores_codex":[0.9979616,0.00009754726,0.0004537322,0.0008582175,0.0003771839,0.0002517595],"domain_scores_gemma":[0.9981319,0.0001712392,0.0001808584,0.001085829,0.0002917834,0.0001383802],"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":[0.00002859436,0.0004139419,0.00009393998,0.0001216163,0.0001124793,7.932875e-7,0.001172557,0.0005313628,0.00002093969,0.9692522,0.004676389,0.02357519],"study_design_scores_gemma":[0.0007591189,0.0002336205,0.000028431,0.00009706818,0.00003195588,0.000009271131,0.0001055187,0.9621944,0.0009076289,0.0008282544,0.03449262,0.0003121564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009407619,0.00005349346,0.9948789,0.0002427554,0.002986413,0.0005106048,0.00006361905,0.0002927672,0.00003070965],"genre_scores_gemma":[0.9521146,0.005457739,0.009642761,0.02880273,0.0003567254,0.00009396996,0.001271307,0.0001505074,0.002109658],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9852361,"threshold_uncertainty_score":0.9999755,"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."}}