{"id":"W2120123761","doi":"10.1109/tmtt.2010.2086466","title":"Power Efficiency and Linearity Enhancement Using Optimized Asymmetrical Doherty Power Amplifiers","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Amplifier; LDMOS; Linearity; Doherty amplifier; Electrical engineering; Predistortion; Power-added efficiency; Power (physics); Adjacent channel power ratio; RF power amplifier; Materials science; Transistor; Electrical efficiency; Electronic engineering; Engineering; Voltage; CMOS; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005372001,0.0002825338,0.0002599966,0.000253393,0.0002014618,0.00006029182,0.0001171111,0.0002210129,0.0001875981],"category_scores_gemma":[0.00001323198,0.0002672816,0.00007315468,0.0002401891,0.0002503817,0.0001725128,0.000003444288,0.000698926,0.000005121618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004688435,"about_ca_system_score_gemma":0.00001557136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004028574,"about_ca_topic_score_gemma":0.000001556776,"domain_scores_codex":[0.9988918,0.00008031861,0.0002621886,0.0003321845,0.000119536,0.0003140181],"domain_scores_gemma":[0.9992161,0.0002591138,0.00003549502,0.0003035726,0.00004639244,0.0001393152],"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":[0.0001565106,0.0001093291,0.000001804405,0.00001952752,0.00004613104,0.000004882484,0.0002873764,0.0004161758,0.9845311,0.001702608,0.00003323996,0.01269129],"study_design_scores_gemma":[0.0003260027,0.0001779629,0.000002868508,0.00002948271,0.00003641328,0.00005201565,0.00005373525,0.0005288254,0.9931669,0.004457446,0.0008179623,0.0003504293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1550441,0.0001218019,0.8419196,0.000007793605,0.0003331503,0.0003148538,0.00001652678,0.0004540031,0.001788191],"genre_scores_gemma":[0.9226725,0.0001253716,0.07692652,0.00008379838,0.00001550997,0.00002974148,9.050528e-7,0.00004607048,0.000099654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7676284,"threshold_uncertainty_score":0.9999779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009367193339213254,"score_gpt":0.2482501349366282,"score_spread":0.2388829415974149,"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."}}