{"id":"W2137561086","doi":"10.1109/tvcg.2008.127","title":"EMDialog: Bringing Information Visualization into the Museum","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Visualization; Exhibition; Computer science; Information visualization; Context (archaeology); Presentation (obstetrics); Human–computer interaction; World Wide Web; Visual analytics; Data visualization; Geovisualization; Data science; Multimedia; Visual arts; Artificial intelligence; Art; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002889203,0.0002420259,0.0001846394,0.0005683298,0.001175594,0.0004387866,0.0004852543,0.0001158719,0.00001426168],"category_scores_gemma":[0.000009491817,0.0002066045,0.00009450338,0.001616252,0.0001530857,0.001798181,0.00001587984,0.0001742263,0.00003717476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003377271,"about_ca_system_score_gemma":0.00007463085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004444665,"about_ca_topic_score_gemma":0.00002055934,"domain_scores_codex":[0.9982775,0.0001628475,0.0004886384,0.0003318323,0.0004938545,0.0002453526],"domain_scores_gemma":[0.9988465,0.0001073734,0.0001806758,0.0004644448,0.0002697995,0.0001312589],"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":[0.000009172805,0.0001602545,0.000127303,0.00003559074,0.00005718806,0.000003300682,0.00955384,0.002121442,0.000008485661,0.9747387,0.001527054,0.01165766],"study_design_scores_gemma":[0.0004445436,0.0001132316,0.0004477021,0.00002993478,0.0000204926,0.00004048867,0.00006448514,0.9847251,0.0006478957,0.0005277308,0.01267174,0.0002666273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003242288,0.00002871631,0.9950088,0.0002209659,0.0007445064,0.0002272329,0.000005947783,0.0004217679,0.00009983729],"genre_scores_gemma":[0.9921306,0.000865044,0.001294848,0.00545415,0.00008317812,0.0000228437,0.00005512536,0.00002067382,0.00007355063],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9937139,"threshold_uncertainty_score":0.9041836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885862478815501,"score_gpt":0.2657990253389085,"score_spread":0.2469404005507535,"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."}}