{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002930023,0.0005323772,0.0007191024,0.000601311,0.0003327407,0.0001973167,0.00184779,0.0005265313,0.0001389274],"category_scores_gemma":[0.00003196253,0.0005933775,0.0002521482,0.001009838,0.0001695885,0.001669819,0.000233365,0.000524166,0.0000317399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003656133,"about_ca_system_score_gemma":0.001139969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002484167,"about_ca_topic_score_gemma":0.0002404821,"domain_scores_codex":[0.9965475,0.0002317908,0.0004878261,0.0009566755,0.001194153,0.0005820815],"domain_scores_gemma":[0.9973763,0.0001133635,0.0008442987,0.0008367151,0.0005669475,0.0002623665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01657748,0.00757806,0.02528834,0.006916274,0.005974346,0.003531509,0.1027742,0.02771968,0.6553024,0.004618362,0.001656422,0.142063],"study_design_scores_gemma":[0.03793738,0.0124947,0.5014732,0.01008928,0.00343076,0.000569729,0.009649,0.02324511,0.381989,0.005265828,0.002277099,0.01157895],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7346137,0.0001648309,0.262548,0.000057565,0.0003987557,0.001062467,0.0001594562,0.0001019442,0.0008933485],"genre_scores_gemma":[0.8575487,0.00001302207,0.1381405,0.00006434318,0.00002644253,0.000001819189,0.000586626,0.00007061806,0.00354797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4761848,"threshold_uncertainty_score":0.9996518,"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."}}