{"id":"W7018424353","doi":"","title":"Design of quadrature mirror filter banks with canonical signed digit coefficients using genetic algorithms.","year":2004,"lang":"en","type":"dissertation","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Filter (signal processing); Control theory (sociology); Noise (video); Filter design; Digital filter; Ideal (ethics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004741957,0.0004566991,0.0003867417,0.0004473826,0.0002736789,0.0005632718,0.0005223177,0.000665638,0.001426211],"category_scores_gemma":[0.001110846,0.0002992783,0.0005631421,0.0003007115,0.0002886755,0.0003103275,0.0002639976,0.0003670746,0.0003091384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000544214,"about_ca_system_score_gemma":0.0007121334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002262731,"about_ca_topic_score_gemma":0.002359116,"domain_scores_codex":[0.9998496,0.0000333057,0.00000810689,0.00003378525,0.00005179291,0.00002342105],"domain_scores_gemma":[0.999772,0.000092364,0.00003977948,0.00001417772,0.00007327361,0.000008327622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009666478,0.00008284878,0.001393084,0.0002177587,0.00008788738,0.0001625244,0.0001986611,0.6722975,0.05886887,0.02399568,0.001549633,0.2410489],"study_design_scores_gemma":[0.00002523388,0.00008646918,0.0002460005,0.00001839282,0.00002419384,0.00007248394,0.00002228894,0.9873841,0.007541574,0.002314463,0.002256339,0.000008389881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02829118,0.0002644823,0.9676322,0.00008168259,0.00003599242,0.00008839113,0.00002821588,0.0002441323,0.003333636],"genre_scores_gemma":[0.2813098,0.0002695898,0.7158464,0.00006941741,0.00001278136,0.0002000296,0.00007544449,0.00003795607,0.002178711],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002262731,"threshold_uncertainty_score":0.004771173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03569032532799751,"score_gpt":0.2545839275902166,"score_spread":0.2188936022622191,"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."}}