{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002979966,0.0009207719,0.0003297752,0.001878948,0.002318603,0.006994168,0.001846785,0.001637379,0.009928461],"category_scores_gemma":[0.006220694,0.0006013546,0.0007885259,0.001540643,0.002294285,0.00574016,0.0107599,0.00215205,0.001190307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021982,"about_ca_system_score_gemma":0.001179156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005226072,"about_ca_topic_score_gemma":0.01328962,"domain_scores_codex":[0.9986213,0.0007163517,0.00004698493,0.0001285571,0.0003153275,0.0001713244],"domain_scores_gemma":[0.9973921,0.001021232,0.0001250416,0.000550665,0.0002180953,0.0006928609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009689248,0.0004011951,0.009232681,0.002425044,0.0001904208,0.00392142,0.1011778,0.005492171,0.04508305,0.0571832,0.1291927,0.6447314],"study_design_scores_gemma":[0.0001931212,0.0002981221,0.007450317,0.0006358586,0.0001058515,0.002092171,0.0156595,0.006704899,0.008351116,0.02176866,0.9365018,0.0002386574],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1924622,0.008375761,0.6098263,0.01637991,0.001579073,0.0008387203,0.00237613,0.04199236,0.1261697],"genre_scores_gemma":[0.385593,0.003983751,0.5847611,0.001253167,0.0007478639,0.0004128171,0.001426859,0.002883519,0.01893794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009928461,"threshold_uncertainty_score":0.03321403,"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."}}