{"id":"W2898359018","doi":"10.1049/iet-cds.2018.5172","title":"Analytical synthesis of <i>elliptic</i> voltage‐mode even/odd‐ <i>n</i> th‐order filter structures using DDCCs, FDCCIIs, and grounded capacitors and resistors","year":2018,"lang":"en","type":"article","venue":"IET Circuits Devices & Systems","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Science Council","keywords":"Chebyshev filter; Butterworth filter; Elliptic filter; Current conveyor; Resistor; Filter (signal processing); Low-pass filter; Band-pass filter; Capacitor; Mathematics; High-pass filter; Topology (electrical circuits); Mathematical analysis; Control theory (sociology); Voltage; Electronic engineering; Electrical engineering; Computer science; Engineering","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":[0.000177396,0.0004414427,0.0002190873,0.0002792578,0.0002558595,0.0005156806,0.0003216398,0.0004183017,0.002104785],"category_scores_gemma":[0.0003745453,0.0001878852,0.0003812812,0.0002078094,0.0002355002,0.0003396911,0.000127202,0.000233338,0.0005356143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008071098,"about_ca_system_score_gemma":0.0006511065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001242279,"about_ca_topic_score_gemma":0.00195759,"domain_scores_codex":[0.999902,0.00001332399,0.000005747341,0.00001531578,0.00005049157,0.00001304214],"domain_scores_gemma":[0.9998609,0.00004054886,0.00003180581,0.00001765482,0.00004345171,0.000005564274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002120791,0.00008646609,0.0009129139,0.0007071746,0.00009822816,0.0004960684,0.0005113335,0.2497223,0.5496031,0.1012845,0.00252941,0.09383639],"study_design_scores_gemma":[0.00006018086,0.0004457952,0.0006744846,0.00006338611,0.00005902299,0.0004180556,0.00008893348,0.7700885,0.1993337,0.007662307,0.02106295,0.00004260988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1066121,0.0007060157,0.8594593,0.00021617,0.00009927868,0.0001428471,0.0001822863,0.000731033,0.0318511],"genre_scores_gemma":[0.730672,0.000603669,0.260606,0.00008045143,0.00003047105,0.0001283389,0.0001484354,0.00006991335,0.007660714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002104785,"threshold_uncertainty_score":0.007041216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958988235394626,"score_gpt":0.232612455525444,"score_spread":0.2130225731714977,"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."}}