{"id":"W4293570427","doi":"10.1109/vr.2013.6549335","title":"IEEE Visualization and Graphics Technical Committee (VGTC)","year":2013,"lang":"en","type":"article","venue":"","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; Graphics; Computer graphics (images); Visualization; Computer graphics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01017858,0.001430269,0.00106241,0.002759711,0.001806092,0.006067624,0.002099649,0.00427429,0.08886412],"category_scores_gemma":[0.01658976,0.0007187554,0.0009373133,0.00242536,0.001023957,0.002361657,0.001971797,0.003841261,0.08675636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001858751,"about_ca_system_score_gemma":0.006583775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008856031,"about_ca_topic_score_gemma":0.00613108,"domain_scores_codex":[0.9945915,0.0009687811,0.0003481832,0.0007064398,0.002824539,0.0005604074],"domain_scores_gemma":[0.9586093,0.001371986,0.0006807722,0.003346116,0.03289226,0.003099615],"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":[0.0000976116,0.00007064654,0.000522206,0.0001225125,0.00001813834,0.00008251954,0.00007205587,0.001346531,0.003829255,0.00785144,0.8246654,0.1613217],"study_design_scores_gemma":[0.00003296127,0.00005151496,0.0005672915,0.0001403552,0.00002218254,0.0001061038,0.00004189958,0.004811094,0.002864289,0.002859096,0.9884797,0.00002353655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005912521,0.005625499,0.4925998,0.03616706,0.03767585,0.003127291,0.008218592,0.0284207,0.3822526],"genre_scores_gemma":[0.04574003,0.008452438,0.2460423,0.008362576,0.0119805,0.003647375,0.04404461,0.01086745,0.6208628],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9111359,"threshold_uncertainty_score":0.2972801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02161091237816882,"score_gpt":0.2964964157993601,"score_spread":0.2748855034211913,"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."}}