{"id":"W2994439175","doi":"10.1109/access.2019.2956721","title":"Nonlinear Three-Port Representation of PAs for Embedded Self-Calibration of Envelope-Dependent Dynamic Biasing Implementations","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; CMC Microsystems","keywords":"Computer science; Biasing; Baseband; Context (archaeology); Amplifier; Electronic engineering; Nonlinear distortion; Linearity; Nonlinear system; Algorithm; CMOS; Voltage; Physics; Electrical engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002645476,0.0006265405,0.0002264361,0.000274967,0.0001645442,0.0008407884,0.0006659038,0.0005545481,0.002970033],"category_scores_gemma":[0.0005829417,0.000200349,0.0005102061,0.000223973,0.0004092472,0.0008065035,0.0004607422,0.0009631371,0.001607944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000245835,"about_ca_system_score_gemma":0.0002814235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003294962,"about_ca_topic_score_gemma":0.0003332397,"domain_scores_codex":[0.9997955,0.00005842197,0.000009958855,0.00003628659,0.00008428053,0.00001553056],"domain_scores_gemma":[0.9998042,0.00005934703,0.00002844467,0.00005373391,0.00004673589,0.000007557716],"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":[0.0001442068,0.0000906822,0.0006485795,0.000278728,0.00004215635,0.0004352339,0.0002914275,0.3449753,0.2005215,0.3129332,0.001694763,0.1379443],"study_design_scores_gemma":[0.000006844443,0.00008334248,0.0001609145,0.00001764905,0.0000118791,0.0003667072,0.00002660196,0.9388374,0.02805047,0.01955791,0.01286015,0.00002015592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007927992,0.00007741932,0.9869521,0.00003494405,0.00002461215,0.00001889636,0.00003292675,0.0001997073,0.004731425],"genre_scores_gemma":[0.5158147,0.0005082765,0.471553,0.000120803,0.00007733789,0.0001684945,0.0002374128,0.000221512,0.01129845],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002970033,"threshold_uncertainty_score":0.009935796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04129760658715591,"score_gpt":0.3411984703108495,"score_spread":0.2999008637236936,"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."}}