{"id":"W1484800741","doi":"10.1109/mwscas.2003.1562224","title":"Distortion analysis using signal flow graphs and volterra series","year":2006,"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":"York University; University of Toronto","funders":"","keywords":"Volterra series; Total harmonic distortion; Signal-flow graph; Distortion (music); Nonlinear distortion; Harmonic analysis; THD analyzer; Computer science; SIGNAL (programming language); Control theory (sociology); Nonlinear system; Amplitude distortion; Amplifier; Electronic engineering; Intermodulation; Voltage; Topology (electrical circuits); Telecommunications; Electrical engineering; Engineering; Physics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006602312,0.0001143546,0.0001609609,0.0001797637,0.00007347076,0.00003860201,0.00003608721,0.00005066555,0.0001522694],"category_scores_gemma":[0.000001236193,0.0001079473,0.00008389576,0.0003614119,0.00003511161,0.0001760217,0.000005396088,0.00005486155,0.000004973317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003099916,"about_ca_system_score_gemma":0.000004506022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002008084,"about_ca_topic_score_gemma":0.0002288635,"domain_scores_codex":[0.999453,0.00001337421,0.0001524606,0.0001284036,0.00009261628,0.0001601583],"domain_scores_gemma":[0.9998258,0.00001096721,0.00001535521,0.00008402885,0.00001979585,0.00004399109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002163764,0.00005826899,0.03098454,0.0001165411,0.001248065,0.00005249734,0.0003547863,0.7551851,0.1323928,0.06116209,0.004463405,0.01396018],"study_design_scores_gemma":[0.0005040048,0.00008649231,0.03760946,0.00002311092,0.001861675,0.00005269762,0.000264197,0.9060795,0.01927481,0.03194911,0.001224897,0.001070105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2115063,0.0003924373,0.7844497,0.000001179398,0.00004317523,0.00003573755,0.000005425804,0.0001975236,0.003368503],"genre_scores_gemma":[0.9990505,0.00001324622,0.0004477012,0.000009643149,0.00004157983,0.000002642247,0.00002472626,0.00001376452,0.0003961707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7875442,"threshold_uncertainty_score":0.4401965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00793255492108445,"score_gpt":0.1816419673688446,"score_spread":0.1737094124477602,"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."}}