{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005237334,0.0003650483,0.0003464097,0.0007540792,0.0006244768,0.0005784008,0.0004655725,0.0002513817,0.00001051062],"category_scores_gemma":[0.0000119701,0.0003715935,0.0001069204,0.001588269,0.0002403669,0.000718069,0.00001883147,0.0002706216,0.00001163304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000223491,"about_ca_system_score_gemma":0.00003804141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001551485,"about_ca_topic_score_gemma":0.00004264111,"domain_scores_codex":[0.9975404,0.0003058743,0.0005574067,0.000738205,0.0005236067,0.000334506],"domain_scores_gemma":[0.9984585,0.0002217678,0.0001831177,0.0005988463,0.0002558579,0.000281923],"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":[0.000008055669,0.0002535886,0.0001424825,0.00004945045,0.00003153202,0.000001536364,0.0003003043,0.0001818133,0.00003139729,0.9916446,0.001003875,0.006351326],"study_design_scores_gemma":[0.0007878636,0.0003595588,0.0005331598,0.00006759721,0.00004485413,0.00003879749,0.00001604242,0.9850354,0.0008074038,0.003501148,0.008351787,0.0004563456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002711787,0.00003372796,0.9954918,0.0001569446,0.0006526615,0.0002418925,0.00001524184,0.0005905554,0.0001054001],"genre_scores_gemma":[0.9901993,0.0009737394,0.002565672,0.005931157,0.0001199935,0.00002409484,0.00004407695,0.00004910276,0.00009285544],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9929261,"threshold_uncertainty_score":0.9998736,"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."}}