{"id":"W4242793680","doi":"10.1109/eumc.2007.4405388","title":"High-efficiency GaN class-E power amplifier with compact harmonic-suppression network","year":2007,"lang":"en","type":"article","venue":"2007 European Microwave Conference","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Amplifier; Harmonic; Power-added efficiency; RF power amplifier; Optoelectronics; Electronic engineering; Electrical engineering; Materials science; Harmonic analysis; Power (physics); Computer science; Physics; Engineering; Acoustics; CMOS","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000651132,0.0005326404,0.0003926467,0.0001285394,0.0001729211,0.0001451663,0.0006072761,0.00009989413,0.0005845065],"category_scores_gemma":[0.00002614095,0.0004725374,0.00007828147,0.0004007384,0.0002037951,0.0002443675,0.00006804454,0.0006502594,0.001073736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001194413,"about_ca_system_score_gemma":0.00004725342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006323345,"about_ca_topic_score_gemma":0.00001159768,"domain_scores_codex":[0.9972727,0.0001160461,0.0005357383,0.0005750627,0.0003338264,0.001166657],"domain_scores_gemma":[0.998397,0.0001421299,0.0001251224,0.0007874517,0.0001802842,0.0003680457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005161816,0.0002615085,0.002425265,0.0001233299,0.000237448,0.001346145,0.00173616,0.08315501,0.7174953,0.006957024,0.1671089,0.01863779],"study_design_scores_gemma":[0.005225531,0.001083863,0.09250002,0.001444677,0.0001869033,0.0005232421,0.0005801402,0.005210974,0.3384205,0.001085672,0.5484989,0.005239519],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05974,0.0004624244,0.7661446,0.00002803954,0.0009507632,0.0003341925,0.00001678077,0.0006504052,0.1716728],"genre_scores_gemma":[0.9881028,0.00004316337,0.009867609,0.0002713276,0.0002961002,0.000001770386,0.00003406578,0.0001870335,0.001196151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9283628,"threshold_uncertainty_score":0.9997726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01608202520254465,"score_gpt":0.2213568254798169,"score_spread":0.2052748002772723,"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."}}