{"id":"W2907487643","doi":"10.1109/newcas.2018.8585488","title":"Maximal Flatness and Filters Transitional Between Butterworth and Inverse Chebyshev Ones","year":2018,"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":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Academy of Finland","keywords":"Chebyshev filter; Butterworth filter; Mathematics; Flatness (cosmology); Chebyshev nodes; Network synthesis filters; Inverse; Control theory (sociology); Elliptic filter; Prototype filter; Filter design; Mathematical analysis; Applied mathematics; Filter (signal processing); Computer science; Physics; Engineering; Electronic engineering; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002910286,0.0003307822,0.0002396188,0.0005404918,0.0003377406,0.0008159093,0.0003532262,0.0004270334,0.003662358],"category_scores_gemma":[0.00110792,0.0001823511,0.000467547,0.0003733964,0.0006808417,0.0006818196,0.0003936313,0.0006986397,0.0007748196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003725255,"about_ca_system_score_gemma":0.000297434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007477183,"about_ca_topic_score_gemma":0.0005513119,"domain_scores_codex":[0.9996899,0.00003744581,0.00001343749,0.00007789252,0.0001248163,0.00005655788],"domain_scores_gemma":[0.9996926,0.0001040259,0.00004160762,0.00006546958,0.00006986536,0.00002654725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001073571,0.00005976733,0.002163467,0.0004326137,0.00007424726,0.001407263,0.0006300449,0.0264116,0.3078129,0.3367468,0.001626699,0.321561],"study_design_scores_gemma":[0.00009382883,0.001712506,0.01306343,0.000211119,0.0002423236,0.006273683,0.0005189593,0.290282,0.3373695,0.2595517,0.09051289,0.0001681378],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.132586,0.00185913,0.8356906,0.0001151595,0.00009847122,0.00004941919,0.00006435607,0.001291702,0.02824519],"genre_scores_gemma":[0.9102359,0.00085746,0.07737563,0.0001088619,0.00008129498,0.00003839703,0.00007402366,0.0001139601,0.01111457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003662358,"threshold_uncertainty_score":0.01225179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344744247634382,"score_gpt":0.1907228173925533,"score_spread":0.1772753749162095,"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."}}