{"id":"W4392543480","doi":"10.1109/tcsii.2024.3374643","title":"Norton-Transformed Wideband High-Order Analog All-Pass Delays","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Wideband; Topology (electrical circuits); Bandwidth (computing); CMOS; Inductor; Electronic engineering; Electrical impedance; Transistor; Network topology; Output impedance; Electrical engineering; Computer science; Engineering; Telecommunications; Voltage; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001921733,0.000479175,0.0005299187,0.000286799,0.0002640322,0.0002713536,0.0003445733,0.0003217695,0.0002040335],"category_scores_gemma":[0.000003191268,0.0004571769,0.0002256569,0.0005754569,0.00008533733,0.0005523873,0.00000178211,0.0006442922,0.0002614338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002111327,"about_ca_system_score_gemma":0.0000933253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005484735,"about_ca_topic_score_gemma":0.0002005147,"domain_scores_codex":[0.9975047,0.00005688293,0.0006503359,0.0005779452,0.0005014089,0.0007086922],"domain_scores_gemma":[0.9988295,0.0002318604,0.00002981596,0.0005126496,0.00008543902,0.0003107246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003624767,0.000371228,0.000006423622,0.003524673,0.002511269,0.0003842445,0.004411751,0.8167636,0.1357142,0.00547903,0.00513718,0.02566017],"study_design_scores_gemma":[0.002713154,0.0005667096,0.0001931504,0.003306606,0.00119191,0.0004945268,0.0006182455,0.3866761,0.1405466,0.0003297766,0.4599668,0.003396423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03753896,0.003572576,0.9352618,0.0001302559,0.006683115,0.0008012335,0.000466487,0.001938926,0.01360669],"genre_scores_gemma":[0.9972716,0.000515019,0.00006285635,0.0001080103,0.000204767,0.0003421291,0.00002383288,0.0001393864,0.00133243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9597326,"threshold_uncertainty_score":0.999788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341782616596656,"score_gpt":0.2246859051475742,"score_spread":0.2112680789816076,"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."}}