{"id":"W2913539036","doi":"10.1002/cta.2598","title":"Partial fraction expansion–based realizations of fractional‐order differentiators and integrators using active filters","year":2019,"lang":"en","type":"article","venue":"International Journal of Circuit Theory and Applications","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"General Secretariat for Research and Technology; Hellenic Foundation for Research and Innovation; European Cooperation in Science and Technology","keywords":"Differentiator; Integrator; Realization (probability); CMOS; Continued fraction; Operational amplifier; Mathematics; Transfer function; Control theory (sociology); Electronic component; Electronic engineering; Partial fraction decomposition; Filter (signal processing); Amplifier; Computer science; Engineering; Mathematical analysis; Arithmetic; Voltage; Electrical engineering; Remainder","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":[0.0002898221,0.0003365273,0.0002331456,0.0002613455,0.00023396,0.0007653295,0.0004383008,0.0005154826,0.001401687],"category_scores_gemma":[0.000685543,0.0001385921,0.0003251595,0.0001875825,0.000364347,0.0005036941,0.0001854742,0.0005299058,0.000282993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005966341,"about_ca_system_score_gemma":0.0003334936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009038101,"about_ca_topic_score_gemma":0.0008972381,"domain_scores_codex":[0.9998671,0.00003456463,0.000009987532,0.00001740181,0.00005682961,0.00001404688],"domain_scores_gemma":[0.9998059,0.0000850363,0.00002670396,0.0000351754,0.00003998401,0.000007358741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003399408,0.00007855057,0.0004667135,0.0001985648,0.00004772851,0.0002366619,0.0003163494,0.3273598,0.1088248,0.4389361,0.001536766,0.1216581],"study_design_scores_gemma":[0.00002620821,0.0001302617,0.0001954895,0.00002414953,0.00002463072,0.0001065683,0.00001861067,0.9351519,0.03382345,0.02095682,0.009523508,0.00001838984],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04137633,0.0003268549,0.9486765,0.00009959398,0.00009978651,0.00002980795,0.00005494729,0.0003673432,0.008968777],"genre_scores_gemma":[0.7750267,0.0003100464,0.2212318,0.00005839694,0.00004301373,0.00006024445,0.00007418708,0.00003592444,0.003159629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001401687,"threshold_uncertainty_score":0.004689157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009062093064074182,"score_gpt":0.248706883734719,"score_spread":0.2396447906706448,"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."}}