{"id":"W2146623049","doi":"10.1145/1101149.1101334","title":"OpenVIDIA","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":202,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Graphics; Computer graphics; Real-time computer graphics; Computer graphics (images); Image processing; 2D computer graphics; General-purpose computing on graphics processing units; Feature (linguistics); Graphics hardware; Computer vision; Artificial intelligence; 3D computer graphics; Image (mathematics)","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":[0.0015886,0.00208417,0.001822452,0.002353656,0.001276338,0.005651641,0.006581567,0.002803309,0.1392913],"category_scores_gemma":[0.006350628,0.001618863,0.001838165,0.002072301,0.0008939391,0.005540228,0.00586926,0.003756268,0.1077256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149725,"about_ca_system_score_gemma":0.001937289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003691885,"about_ca_topic_score_gemma":0.003301393,"domain_scores_codex":[0.9981487,0.0002021683,0.0001288211,0.0003879277,0.0008520373,0.0002803087],"domain_scores_gemma":[0.9979215,0.0004389849,0.0001330673,0.0005423283,0.0006489782,0.0003151867],"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":[0.001383084,0.0001626131,0.001236542,0.0009326449,0.0001188585,0.0003249673,0.0003623474,0.003795255,0.005175973,0.03602987,0.727838,0.2226398],"study_design_scores_gemma":[0.0001723927,0.00006873452,0.0007205601,0.000127394,0.00003072925,0.000287768,0.00005319473,0.01046766,0.004897987,0.01470534,0.9683755,0.00009263825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.004034115,0.002222879,0.2459281,0.0009432509,0.001515113,0.0006590475,0.03626734,0.5638168,0.1446134],"genre_scores_gemma":[0.0606057,0.003311506,0.2801923,0.002416171,0.0006563328,0.002597357,0.2166907,0.1837468,0.2497831],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1392913,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066992700079847,"score_gpt":0.2764353925392817,"score_spread":0.2657654655384832,"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."}}