{"id":"W1827666052","doi":"10.1109/iscas.2002.1011449","title":"High-order tunable passive digital filters","year":2003,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Low-pass filter; Center frequency; Prototype filter; Cutoff frequency; High-pass filter; Band-pass filter; Bandwidth (computing); Passband; Digital filter; m-derived filter; Half-band filter; Computation; Filter (signal processing); Transformation (genetics); Computer science; Electronic engineering; Acoustics; Physics; Algorithm; Telecommunications; Engineering; Optics","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":[0.0002323454,0.0004858984,0.0002440321,0.0003011924,0.0002729131,0.0009031254,0.0005479259,0.0005887104,0.00417403],"category_scores_gemma":[0.0007103822,0.0001775153,0.0002744104,0.0002722898,0.0002924181,0.0006945639,0.000210868,0.0006866778,0.001656121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006468876,"about_ca_system_score_gemma":0.0003054995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005706914,"about_ca_topic_score_gemma":0.001221463,"domain_scores_codex":[0.9997284,0.00002337071,0.0000106704,0.00004204244,0.000173309,0.00002222923],"domain_scores_gemma":[0.9997368,0.00008731133,0.00003131599,0.00003407556,0.00009771376,0.0000126385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002468638,0.0000687301,0.0008733241,0.0003376117,0.00004140821,0.0003855604,0.0003447584,0.03416607,0.5669718,0.1227552,0.003324541,0.2704841],"study_design_scores_gemma":[0.0001001578,0.0005210963,0.002106015,0.0001007613,0.0001205113,0.00182672,0.0001652643,0.5181417,0.3336252,0.03751684,0.1056955,0.00008024492],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01839069,0.0006013727,0.9656383,0.0001155676,0.0001067098,0.00003672044,0.00004882065,0.0007994325,0.01426236],"genre_scores_gemma":[0.6671355,0.001720557,0.2795094,0.0003343317,0.0001833854,0.0001195661,0.0001673066,0.0001757271,0.05065427],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00417403,"threshold_uncertainty_score":0.01396352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398241729455376,"score_gpt":0.2257310474467523,"score_spread":0.2117486301521985,"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."}}