{"id":"W2947752667","doi":"10.1109/access.2019.2919603","title":"A Fully Integrated C-Band GaN MMIC Doherty Power Amplifier With High Efficiency and Compact Size for 5G Application","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Key Research and Development Program of China; National Science and Technology Major Project; National Natural Science Foundation of China","keywords":"Predistortion; Amplifier; dBc; Adjacent channel power ratio; Monolithic microwave integrated circuit; Materials science; Adjacent channel; Electrical engineering; Bandwidth (computing); High-electron-mobility transistor; Optoelectronics; Transistor; Telecommunications; Computer science; Voltage; Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.00009408899,0.0002356973,0.0002576978,0.00006950376,0.0000580029,0.0001249034,0.0002881935,0.00008686768,0.00005864694],"category_scores_gemma":[0.00001412348,0.0001871165,0.00002951391,0.0002753354,0.0000510242,0.0003799508,0.000002977569,0.0001540123,0.0000323401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006870251,"about_ca_system_score_gemma":0.00002173442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006107957,"about_ca_topic_score_gemma":0.00002085114,"domain_scores_codex":[0.999006,0.00001315445,0.0001993566,0.0003307754,0.0001354234,0.0003153288],"domain_scores_gemma":[0.9991689,0.0002160266,0.00005809722,0.0003735343,0.00009062772,0.00009282669],"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":[0.001178159,0.0002711852,0.03637305,0.0008650589,0.0003678096,0.00001035639,0.00188496,0.3716784,0.5715221,0.001040141,0.00848095,0.00632783],"study_design_scores_gemma":[0.01306671,0.001555528,0.1177711,0.000540134,0.0002557935,0.0001099003,0.0004619951,0.07248839,0.7381141,0.007027062,0.04445282,0.004156519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6087816,0.00007592946,0.387365,0.00002969654,0.0002679458,0.000892446,0.00002592271,0.0002379629,0.002323576],"genre_scores_gemma":[0.9990547,0.000007261091,0.000474343,0.00009144341,0.0000378471,0.00007914776,0.00001462499,0.0000656452,0.0001749748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3902732,"threshold_uncertainty_score":0.7630391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007850180958893676,"score_gpt":0.2414135497079577,"score_spread":0.233563368749064,"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."}}