{"id":"W4292897939","doi":"10.1109/tvcg.2013.48","title":"IEEE Visualization and Graphics Technical Committee (VGTC)","year":2013,"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":[0.01006795,0.001453477,0.001077541,0.002878523,0.00180549,0.005928289,0.002204467,0.004342743,0.09323874],"category_scores_gemma":[0.01677039,0.0007184723,0.0009491009,0.002483341,0.001028148,0.00240046,0.002105538,0.003948854,0.09159904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001902359,"about_ca_system_score_gemma":0.006902965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008837057,"about_ca_topic_score_gemma":0.006062985,"domain_scores_codex":[0.9944978,0.0009771667,0.0003564809,0.0007452845,0.002866902,0.000556424],"domain_scores_gemma":[0.9577177,0.001291138,0.0006686019,0.003603321,0.03344838,0.003270866],"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":[0.00009326841,0.00006857377,0.0005163301,0.0001218589,0.0000185937,0.00008459909,0.0000669944,0.001345563,0.003594829,0.007914444,0.8198454,0.1663296],"study_design_scores_gemma":[0.00003083608,0.00004954291,0.0005446458,0.0001386357,0.00002131192,0.0001096334,0.00003673208,0.004665956,0.002542574,0.002881495,0.9889557,0.00002291084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005619158,0.006223249,0.4894214,0.03623362,0.03971918,0.003214733,0.008511921,0.02808882,0.3829679],"genre_scores_gemma":[0.04404911,0.008714344,0.249625,0.008612039,0.01242509,0.003634997,0.04516985,0.01043373,0.6173359],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09323874,"threshold_uncertainty_score":0.3119147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031305410418876,"score_gpt":0.282654619338772,"score_spread":0.2623415652345832,"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."}}