{"id":"W2123899207","doi":"10.1109/ccece.2014.6901010","title":"Distortion analysis of nano-scale CMOS RF amplifier using Volterra series","year":2014,"lang":"en","type":"article","venue":"","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Volterra series; Total harmonic distortion; Nonlinear distortion; Amplifier; Distortion (music); CMOS; Electronic engineering; Nonlinear system; Series (stratigraphy); MOSFET; Scale (ratio); Computer science; Transistor; Physics; Electrical engineering; Engineering; Voltage","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":[0.0001461067,0.0003631579,0.0001832016,0.0002218708,0.0001679369,0.0003219239,0.0004030116,0.0003050652,0.001477998],"category_scores_gemma":[0.0004240105,0.0001259298,0.0003810457,0.0001654793,0.0002426107,0.0005544841,0.0002008934,0.0003772964,0.0005232492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006170695,"about_ca_system_score_gemma":0.0002081937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001221726,"about_ca_topic_score_gemma":0.001166056,"domain_scores_codex":[0.9998538,0.00001618529,0.000006026554,0.00002202283,0.00009063505,0.00001127595],"domain_scores_gemma":[0.9998751,0.00004905945,0.00001638674,0.00001575678,0.00003959969,0.000004219305],"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":[0.000132723,0.00004817641,0.001646033,0.0003727373,0.00009445113,0.0004972896,0.0003070535,0.4521442,0.3602376,0.1088547,0.00204339,0.07362159],"study_design_scores_gemma":[0.000001952766,0.0000308359,0.0003816234,0.000007385182,0.000007894769,0.0002081666,0.000022019,0.9766891,0.01683735,0.003707383,0.002096683,0.000009559723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06714776,0.001261291,0.9156566,0.000315435,0.00006909655,0.00004560849,0.00009344538,0.0003788716,0.01503185],"genre_scores_gemma":[0.9160663,0.001596718,0.07363341,0.0001085803,0.00005508306,0.00004153619,0.0001116731,0.00008556895,0.008301065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001477998,"threshold_uncertainty_score":0.004944384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139311958834551,"score_gpt":0.214155300068507,"score_spread":0.2002241041850519,"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."}}