{"id":"W2161759144","doi":"10.1002/mop.26301","title":"A novel Doherty power amplifier with self‐adaptive biasing network for efficiency improvement","year":2011,"lang":"en","type":"article","venue":"Microwave and Optical Technology Letters","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Biasing; Amplifier; Gate driver; Power (physics); Electronic engineering; Microwave; Electrical engineering; Power-added efficiency; Voltage; Engineering; RF power amplifier; Physics; Telecommunications; CMOS","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009446499,0.0002636787,0.0002547524,0.0001247207,0.0001008384,0.00001880972,0.0001686139,0.0001956594,0.000006653494],"category_scores_gemma":[0.00001023714,0.0002229382,0.00004408228,0.0002632892,0.0002749824,0.0000819605,0.00005699178,0.0002907082,0.000006761067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006243032,"about_ca_system_score_gemma":0.000009386011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001833499,"about_ca_topic_score_gemma":0.000003274096,"domain_scores_codex":[0.9987075,0.000003982635,0.0002117428,0.0003706115,0.00007267788,0.0006334309],"domain_scores_gemma":[0.9995155,0.00006276553,0.00003324476,0.0002740855,0.0000370813,0.00007727763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001464512,0.0001179014,0.0003463142,0.00004343394,0.0002735148,0.00003224604,0.0005659383,0.0005005575,0.9717024,0.01724934,0.0007779764,0.008243933],"study_design_scores_gemma":[0.008558045,0.00453374,0.002296961,0.0004000448,0.0005606121,0.0006264308,0.001272581,0.01148613,0.9396347,0.01363317,0.01311897,0.003878569],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2034923,0.0001160716,0.7944922,0.0002258111,0.000117398,0.0004246952,0.000005501685,0.000485318,0.0006407232],"genre_scores_gemma":[0.5752746,0.000006253938,0.4239868,0.0005770749,0.00002698148,0.00007183831,0.00000159863,0.00004483091,0.000009999997],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3717824,"threshold_uncertainty_score":0.9091156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428467472174562,"score_gpt":0.1943517873663305,"score_spread":0.1800671126445849,"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."}}