{"id":"W2289039579","doi":"10.1109/nemo.2015.7415098","title":"Time-invariant behavioral modeling for harmonic balance simulation based on waveform shape maps","year":2015,"lang":"en","type":"article","venue":"","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Harmonic balance; Waveform; Nonlinear system; Behavioral modeling; Control theory (sociology); Invariant (physics); Representation (politics); Nonlinear distortion; Discrete time and continuous time; Frequency domain; Computer science; Time domain; Total harmonic distortion; Algorithm; Mathematics; Engineering; Artificial intelligence; Physics; Voltage; Telecommunications","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":[0.0002325688,0.0004006365,0.0002740462,0.0002554737,0.0001966349,0.0004705319,0.0007742266,0.0005075195,0.002417033],"category_scores_gemma":[0.0005218603,0.0002097073,0.0004825644,0.0001422701,0.0003657847,0.0006082866,0.0003227653,0.0006062915,0.0004178633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003391527,"about_ca_system_score_gemma":0.0004689584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001372648,"about_ca_topic_score_gemma":0.001094773,"domain_scores_codex":[0.9998665,0.00002660918,0.000005477151,0.00001456968,0.00007558883,0.00001131657],"domain_scores_gemma":[0.9998481,0.000063666,0.00001854411,0.00002840222,0.00003446841,0.000006715309],"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":[0.00002758317,0.00003827062,0.000312039,0.00004401422,0.00001399737,0.00008569485,0.00008375102,0.9256877,0.02603206,0.03663304,0.0003174476,0.01072442],"study_design_scores_gemma":[0.000001558637,0.000007146958,0.00002353613,0.000001294183,0.00000146258,0.000006367618,0.000002230376,0.9969622,0.001436363,0.001128823,0.0004275118,0.000001486107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01835309,0.0000236643,0.9764938,0.00004143244,0.00002029333,0.00004042868,0.00004492712,0.0004047071,0.004577701],"genre_scores_gemma":[0.7692382,0.0002293043,0.2205401,0.00006848417,0.00002332529,0.0003784376,0.0001842394,0.0002653774,0.009072532],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002417033,"threshold_uncertainty_score":0.008085787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06643555211962031,"score_gpt":0.2726336658552456,"score_spread":0.2061981137356253,"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."}}