{"id":"W3083506557","doi":"10.1109/mwscas48704.2020.9184686","title":"A 4<sup>th</sup>-Order Programmable Channel Selection Filter for Acoustic and Ultrasonic Applications","year":2020,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Digital biquad filter; Total harmonic distortion; Active filter; Voltage-controlled filter; Electronic engineering; Center frequency; Low-pass filter; m-derived filter; Bandwidth (computing); High-pass filter; Butterworth filter; Filter (signal processing); Capacitor; CMOS; Band-stop filter; Filter design; Band-pass filter; Computer science; Electrical engineering; Engineering; Telecommunications; Voltage","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":[0.000211257,0.0005023896,0.0002894116,0.0004232002,0.0003346099,0.000483307,0.0007965443,0.0007939466,0.004640256],"category_scores_gemma":[0.000312164,0.0002071792,0.000265502,0.0004413564,0.0002223368,0.0005257209,0.0001361359,0.0003938096,0.001432302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000503362,"about_ca_system_score_gemma":0.0004601697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008735308,"about_ca_topic_score_gemma":0.001869559,"domain_scores_codex":[0.9998063,0.00001974747,0.000009514834,0.00004766877,0.00008998234,0.00002671338],"domain_scores_gemma":[0.9997979,0.00005663172,0.00003552386,0.00001452783,0.00007660584,0.00001879141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003230094,0.00004788426,0.000696527,0.0003423618,0.00002828677,0.0002392803,0.00007208882,0.0009895538,0.8208014,0.003160121,0.003078922,0.1702206],"study_design_scores_gemma":[0.00009288433,0.001325668,0.003143792,0.00005214564,0.0001971894,0.002901541,0.00006247948,0.03750291,0.8124667,0.0009038958,0.1412678,0.00008303641],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09145699,0.003020803,0.8832735,0.0005034034,0.0006503573,0.0002025596,0.0002778843,0.003414209,0.01720025],"genre_scores_gemma":[0.5288723,0.002536468,0.4284189,0.0007760448,0.0005898817,0.0001883371,0.000460363,0.0002041468,0.03795347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004640256,"threshold_uncertainty_score":0.0155232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652357978670196,"score_gpt":0.2081437420464776,"score_spread":0.1916201622597757,"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."}}