{"id":"W2162091140","doi":"10.1109/iv.2002.1028791","title":"Towards a visual interface for information visualization","year":2003,"lang":"en","type":"article","venue":"Proceedings Sixth International Conference on Information Visualisation","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Visualization; Human–computer interaction; Focus (optics); Context (archaeology); Information visualization; Interface (matter); Representation (politics); Vocabulary; User interface; Data visualization; Process (computing); Popularity; Artificial intelligence; Programming language; Linguistics","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":[0.01209226,0.002019234,0.001303089,0.003359748,0.001106392,0.0119979,0.004472298,0.005564508,0.01774576],"category_scores_gemma":[0.03168246,0.001415106,0.001728769,0.002188399,0.002476754,0.01231126,0.006081844,0.006950792,0.007644745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009627572,"about_ca_system_score_gemma":0.001279649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001280264,"about_ca_topic_score_gemma":0.0009617396,"domain_scores_codex":[0.9942585,0.0030871,0.0004847835,0.0004473232,0.001522898,0.0001992998],"domain_scores_gemma":[0.986553,0.007779582,0.0003718559,0.0009935638,0.003403999,0.0008979894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009404222,0.0003073558,0.001289436,0.003944661,0.0001812073,0.001591155,0.01106441,0.009198516,0.03925118,0.2669801,0.1843856,0.4808659],"study_design_scores_gemma":[0.0003359625,0.0003320229,0.0007644848,0.002103065,0.0001131945,0.002267834,0.001556435,0.06824162,0.007747524,0.2147158,0.7015816,0.0002404497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001426927,0.001557681,0.9755684,0.002829758,0.0004852906,0.0002725355,0.0002640077,0.01240452,0.005190984],"genre_scores_gemma":[0.01013442,0.001463637,0.9807423,0.001012242,0.0002900317,0.0004175936,0.0006052806,0.001327116,0.004007359],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01774576,"threshold_uncertainty_score":0.06395066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04209632484240915,"score_gpt":0.3460419637798579,"score_spread":0.3039456389374487,"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."}}