{"id":"W2145992510","doi":"10.1109/mcg.2013.24","title":"Data Visualization on Interactive Surfaces: A Research Agenda","year":2013,"lang":"en","type":"article","venue":"IEEE Computer Graphics and Applications","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Visualization; Computer science; Variety (cybernetics); Human–computer interaction; Data visualization; Interactive visualization; Information visualization; Computer graphics; Data science; Multimedia; Computer graphics (images); Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0004286953,0.0001200652,0.0001151636,0.0002948394,0.0003641779,0.0006943899,0.001353304,0.00005366671,0.00001351957],"category_scores_gemma":[0.00001229805,0.0001105616,0.00002239727,0.001032456,0.0001124209,0.0007815711,0.0005764289,0.0001852306,0.0001972411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001359934,"about_ca_system_score_gemma":0.00004092661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005510505,"about_ca_topic_score_gemma":0.00001490596,"domain_scores_codex":[0.9984866,0.0001162228,0.0002331305,0.0006150538,0.0003286299,0.0002203653],"domain_scores_gemma":[0.9979275,0.0002528254,0.00007875627,0.001268251,0.0003538127,0.0001188515],"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":[7.663789e-7,0.0001966766,0.000116444,0.00001506055,0.00002295569,6.977955e-7,0.0001902066,0.00007462256,0.0000883942,0.9271327,0.04683618,0.02532528],"study_design_scores_gemma":[0.0001254842,0.00005488294,0.0008537356,0.0000195635,0.000003574264,0.000002888811,0.00002327528,0.847212,0.00007979338,0.0129588,0.1385258,0.000140188],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001878746,0.00003549327,0.9960185,0.0008271883,0.0001077177,0.0004581056,0.00006605354,0.0001227696,0.0004854131],"genre_scores_gemma":[0.9707123,0.0008114181,0.02153476,0.004804465,0.000528718,0.0003439871,0.0008509182,0.00004150164,0.0003719111],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9744837,"threshold_uncertainty_score":0.6696017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1475498341706475,"score_gpt":0.4169134611412503,"score_spread":0.2693636269706028,"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."}}