{"id":"W2164395047","doi":"10.1109/cicc.1996.510543","title":"Linearized high efficiency Class E power amplifier for wireless communications","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Amplifier; Direct-coupled amplifier; Linear amplifier; RF power amplifier; Power-added efficiency; Electrical engineering; Electronic engineering; Power bandwidth; Cascade amplifier; Adjacent-channel interference; Operational amplifier; Computer science; Engineering; Interference (communication); Channel (broadcasting); CMOS","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":[0.000121608,0.0003498086,0.0001734475,0.0002343221,0.0002529573,0.0004927276,0.0005893956,0.0005242195,0.00567719],"category_scores_gemma":[0.0003952578,0.000167007,0.000171382,0.000249028,0.0002905268,0.0008916036,0.0003545092,0.000565949,0.002845433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002807086,"about_ca_system_score_gemma":0.0001708413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002832861,"about_ca_topic_score_gemma":0.0004360001,"domain_scores_codex":[0.999805,0.00004000781,0.000007666511,0.00003005829,0.00009524541,0.00002202724],"domain_scores_gemma":[0.9997881,0.00006327342,0.00003129437,0.00002532051,0.00007957166,0.00001238332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001875853,0.00004923249,0.000863869,0.0001480889,0.00003534917,0.0002825647,0.0001130226,0.003176547,0.7682103,0.0135916,0.004223347,0.2091186],"study_design_scores_gemma":[0.00004906519,0.000822207,0.001928755,0.00004990549,0.00009167467,0.002667508,0.0000947514,0.08673694,0.8159339,0.004421364,0.08713555,0.00006833525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07061612,0.0020755,0.8933473,0.000718514,0.0001272223,0.00009711907,0.00007702624,0.003435885,0.02950542],"genre_scores_gemma":[0.7864136,0.001426074,0.1708283,0.0005313743,0.0001870556,0.000083378,0.0001338426,0.0001521007,0.04024436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00567719,"threshold_uncertainty_score":0.01899213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03084376677562441,"score_gpt":0.2481894327512275,"score_spread":0.217345665975603,"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."}}