{"id":"W2562199995","doi":"10.1109/tmtt.2016.2633261","title":"Toward a More Generalized Doherty Power Amplifier Design for Broadband Operation","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Seventh Framework Programme; Queen's University","keywords":"Adjacent channel; Amplifier; Doherty amplifier; dBm; Broadband; Wideband; Adjacent channel power ratio; Linearity; dBc; Robustness (evolution); Bandwidth (computing); Electronic engineering; Computer science; Electrical engineering; Engineering; RF power amplifier; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001663822,0.0006165662,0.0003195769,0.0003042755,0.0001857363,0.0006330814,0.0008218802,0.0003968221,0.001106561],"category_scores_gemma":[0.0002631716,0.0003248924,0.0003865606,0.0003003557,0.0003290401,0.0006103069,0.0003176532,0.0007570775,0.000709481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004141355,"about_ca_system_score_gemma":0.0003380648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005620254,"about_ca_topic_score_gemma":0.001087749,"domain_scores_codex":[0.9998478,0.00002840546,0.0000090161,0.00004309199,0.00005455522,0.00001705132],"domain_scores_gemma":[0.9998937,0.00001669263,0.00001988445,0.00002439,0.00003918329,0.000006110032],"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":[0.00007448725,0.00004438739,0.0004936516,0.0001866866,0.0001101573,0.0002050926,0.0001767233,0.055638,0.8073142,0.06328043,0.0008428635,0.07163322],"study_design_scores_gemma":[0.00005769917,0.0005991414,0.001328532,0.00006202781,0.0001918654,0.001093855,0.00009790187,0.6782261,0.2271302,0.02588342,0.06526602,0.00006322877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03042527,0.0003470539,0.9609614,0.0001653764,0.0000392633,0.00005434451,0.00004452498,0.0004020121,0.007560672],"genre_scores_gemma":[0.4649067,0.001340803,0.5270984,0.0002292496,0.000138644,0.0001756849,0.0001152194,0.0001131759,0.005882128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001106561,"threshold_uncertainty_score":0.003701806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351877488757409,"score_gpt":0.2575006010033929,"score_spread":0.2339818261158189,"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."}}