{"id":"W2148440553","doi":"10.1109/tvcg.2007.31","title":"Aura 3D Textures","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; MacEwan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer graphics (images); Computer vision; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005497021,0.001060385,0.0007246382,0.001806556,0.0005270442,0.001850164,0.001433353,0.0008352888,0.02027913],"category_scores_gemma":[0.00272007,0.0007714174,0.001595292,0.0008488205,0.0005008371,0.001067002,0.002233453,0.001292942,0.004493595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003083963,"about_ca_system_score_gemma":0.0004379546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000682351,"about_ca_topic_score_gemma":0.001293216,"domain_scores_codex":[0.9991922,0.00009188087,0.00003615218,0.00008058512,0.0005446994,0.00005445054],"domain_scores_gemma":[0.9987198,0.0004467813,0.00006698471,0.0004446882,0.0002362713,0.00008536361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000583258,0.00009910578,0.001412209,0.0006523507,0.0001154892,0.0005596143,0.0005372417,0.04112647,0.09646863,0.03539693,0.03718523,0.7858635],"study_design_scores_gemma":[0.0001671785,0.0002390053,0.00186849,0.0001432553,0.00007298661,0.003563201,0.0002097408,0.5773624,0.1143286,0.02934407,0.2725129,0.000188239],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006984188,0.0002542456,0.9702918,0.0001459169,0.0001445187,0.00009562868,0.0005959132,0.01217867,0.009309143],"genre_scores_gemma":[0.1488272,0.0005127667,0.8349631,0.0002026486,0.0001156351,0.0002607141,0.001737581,0.004095822,0.009284491],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02027913,"threshold_uncertainty_score":0.06784046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482512228582873,"score_gpt":0.2964204469706708,"score_spread":0.2815953246848421,"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."}}