{"id":"W2112294383","doi":"","title":"Quality Issues of Hardware-Accelerated High-Quality Filtering on PC Graphics Hardware","year":2003,"lang":"en","type":"article","venue":"Digital Library (University of West Bohemia)","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Rendering (computer graphics); Computer science; Graphics hardware; Computation; Graphics; Computer hardware; Field-programmable gate array; Filter (signal processing); Kernel (algebra); Range (aeronautics); Algorithm; Artificial intelligence; Computer vision; Computer graphics (images); Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003162915,0.0002158311,0.0004701389,0.0002036572,0.0001848954,0.0002214296,0.001089888,0.0001293262,0.000148176],"category_scores_gemma":[0.0001124038,0.0002563955,0.0002195064,0.0007948366,0.0002080878,0.004428603,0.000372052,0.0002124522,0.00003125138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001790608,"about_ca_system_score_gemma":0.0001125798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000963994,"about_ca_topic_score_gemma":0.000001550282,"domain_scores_codex":[0.9982188,0.0002770103,0.0003218572,0.0004729125,0.0004217084,0.0002877343],"domain_scores_gemma":[0.9984426,0.0002623896,0.0002940854,0.000737039,0.0001141402,0.0001497755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007403838,0.001823987,0.04240819,0.0009540221,0.0003902378,0.0004613294,0.003880242,0.0003009808,0.03639223,0.8595231,0.01665846,0.03646683],"study_design_scores_gemma":[0.006611203,0.001506814,0.1806921,0.000817616,0.0000655847,0.00004084795,0.002186241,0.0009215088,0.6426938,0.07414082,0.08729632,0.003027215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8307918,0.0001612715,0.1272069,0.0008688486,0.000271086,0.000217981,0.0005273413,0.0004357039,0.0395191],"genre_scores_gemma":[0.9569499,0.00003659834,0.03947056,0.0001639087,0.00002278377,2.274366e-7,0.00009358292,0.00001793508,0.003244456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7853823,"threshold_uncertainty_score":0.9999889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04713903933480859,"score_gpt":0.2654230001983965,"score_spread":0.218283960863588,"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."}}