{"id":"W2088839215","doi":"10.1109/tcsii.2007.898891","title":"On the Error-Free Realization of a Scaled DCT Algorithm and Its VLSI Implementation","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Realization (probability); Very-large-scale integration; Computer science; Discrete cosine transform; Arithmetic; Algorithm; Computer engineering; Mathematics; Artificial intelligence; Embedded system; Statistics; Image (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001468033,0.0003601311,0.0002129395,0.0003099798,0.0001511764,0.0005130087,0.000358211,0.0003030228,0.0038783],"category_scores_gemma":[0.000560434,0.000181772,0.0001757635,0.0005602017,0.0002506034,0.0006207157,0.0002112272,0.0003583717,0.001321475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001992331,"about_ca_system_score_gemma":0.0002920642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005281845,"about_ca_topic_score_gemma":0.0008752392,"domain_scores_codex":[0.9998604,0.0000199395,0.00001096891,0.00001766683,0.00007975307,0.00001127586],"domain_scores_gemma":[0.9998984,0.00003514783,0.00001092196,0.00002110361,0.00003092776,0.000003475582],"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":[0.0002202215,0.00004387168,0.000384377,0.0004312563,0.00002741084,0.0005588861,0.0001393802,0.03370026,0.3100878,0.1711493,0.004246059,0.4790111],"study_design_scores_gemma":[0.000118992,0.0008015656,0.001365156,0.0001697278,0.00006721631,0.00367705,0.00008286659,0.4617089,0.3281093,0.03783803,0.1659819,0.00007925002],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01371274,0.001289097,0.973094,0.0001117637,0.0001269352,0.00006825942,0.00006121806,0.0005021252,0.01103382],"genre_scores_gemma":[0.2194152,0.002992012,0.7651204,0.0001434806,0.0002280246,0.0001091077,0.0002899905,0.00006898488,0.01163281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0038783,"threshold_uncertainty_score":0.0129742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03394156028638141,"score_gpt":0.2772975117773618,"score_spread":0.2433559514909804,"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."}}