{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003086706,0.0003977701,0.0003520591,0.0008068117,0.0006255945,0.0008727262,0.0004967851,0.0002732346,0.00003883925],"category_scores_gemma":[0.00000792569,0.0003953589,0.0001142762,0.001775081,0.0002598989,0.001232513,0.00002196374,0.0002960693,0.00003367191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002798244,"about_ca_system_score_gemma":0.00004946587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005035286,"about_ca_topic_score_gemma":0.00003547884,"domain_scores_codex":[0.9974706,0.0002282442,0.000617725,0.000757705,0.0005465422,0.0003792437],"domain_scores_gemma":[0.9983387,0.0001739848,0.0001901387,0.0006026416,0.0003695371,0.0003250259],"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":[0.000005958131,0.0003760281,0.000221794,0.00005984479,0.00005133891,0.000002841345,0.0004418293,0.0001347323,0.00008108657,0.9891065,0.003295772,0.006222222],"study_design_scores_gemma":[0.0007613283,0.0003008707,0.001414806,0.0000701855,0.0000425921,0.00004696842,0.00003625411,0.9892747,0.0008506913,0.003642058,0.00304136,0.0005181335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005608024,0.00005449438,0.9923366,0.0002394784,0.000604852,0.000442928,0.00001750661,0.0006108444,0.00008526514],"genre_scores_gemma":[0.9895515,0.001423311,0.002594178,0.00602618,0.00009653585,0.00006574061,0.00005018144,0.00005441249,0.0001379332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9897425,"threshold_uncertainty_score":0.9998499,"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."}}