{"id":"W4249762089","doi":"10.1109/tvcg.2014.28","title":"IEEE Visualization and Graphics Technical Committee","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Computer science; Visualization; Graphics; Computer graphics (images); Data visualization; Computer graphics; Information visualization; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007843036,0.001799123,0.001165976,0.00361953,0.001902291,0.005917422,0.002380468,0.003491239,0.1046285],"category_scores_gemma":[0.0112811,0.0007209919,0.001172873,0.002811725,0.0008901762,0.002486132,0.002138839,0.004015462,0.1167395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001879868,"about_ca_system_score_gemma":0.005897453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008255861,"about_ca_topic_score_gemma":0.005479584,"domain_scores_codex":[0.9950731,0.000788144,0.000301522,0.0006773314,0.002749962,0.0004098385],"domain_scores_gemma":[0.9711592,0.0007608599,0.0003066241,0.002168855,0.02396307,0.001641448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006908915,0.00005925162,0.0003990449,0.0001447576,0.00002046775,0.00008684907,0.00006399702,0.001277513,0.003081373,0.01008247,0.7970639,0.1876512],"study_design_scores_gemma":[0.00002093391,0.00003430796,0.0003646278,0.0001079888,0.00001833996,0.0001106031,0.00003578885,0.003860174,0.001762254,0.00326702,0.990398,0.00001999414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003734428,0.01022905,0.3902381,0.03191274,0.04092011,0.002513274,0.007135432,0.02089575,0.4924212],"genre_scores_gemma":[0.02870215,0.01381255,0.1513799,0.006001121,0.01038996,0.002456842,0.03094897,0.005399814,0.7509087],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1046285,"threshold_uncertainty_score":0.350017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915834492898646,"score_gpt":0.2860374717296129,"score_spread":0.2668791268006264,"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."}}