{"id":"W1998779324","doi":"10.1007/s00034-005-2500-x","title":"Computationally Efficient Digital Filters: Design Techniques and Applications","year":2006,"lang":"en","type":"article","venue":"Circuits Systems and Signal Processing","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Digital filter; Computer architecture; Electronic engineering; Engineering; Telecommunications; Bandwidth (computing)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000126965,0.0001113795,0.0001195592,0.00005867785,0.0003484575,0.001011451,0.0001704393,0.00003989224,3.624519e-7],"category_scores_gemma":[9.667472e-7,0.00009904776,0.00001583715,0.0002332501,0.00006360796,0.0003036366,0.0000555575,0.00006337595,0.000002268559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001378944,"about_ca_system_score_gemma":0.00003568515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008146915,"about_ca_topic_score_gemma":1.504142e-7,"domain_scores_codex":[0.9991257,0.00001854393,0.000221409,0.0003248126,0.0001503995,0.00015917],"domain_scores_gemma":[0.9995531,0.00008383863,0.000104595,0.0001069686,0.00008911466,0.00006239111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001111781,0.00008983452,0.000190887,0.0001622991,0.000006723615,0.000007363705,0.00013545,0.02097966,0.00231487,0.09196312,0.0003444093,0.8838043],"study_design_scores_gemma":[0.0002213472,0.0000556733,0.0005549137,0.0001973706,0.000009505755,0.0003100609,0.00005350766,0.9777251,0.0004206314,0.0102362,0.009845934,0.000369757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001839127,0.002174187,0.9938838,0.00009038404,0.0000110889,0.0004261901,0.000004109777,0.0001792759,0.001391762],"genre_scores_gemma":[0.995932,0.000004511244,0.003591729,0.0000293558,0.0001999095,0.000145353,0.000006061834,0.000007986896,0.0000830693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9940929,"threshold_uncertainty_score":0.975345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670713023781733,"score_gpt":0.2259321255346027,"score_spread":0.2092249952967854,"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."}}