{"id":"W2894682229","doi":"10.1109/tmtt.2018.2870830","title":"Linearity-Enhanced Doherty Power Amplifier Using Output Combining Network With Predefined AM–PM Characteristics","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Linearity; Amplifier; Adjacent channel; Adjacent channel power ratio; Electronic engineering; dBc; Electrical engineering; Amplitude modulation; Predistortion; Impedance matching; CMOS; Electrical impedance; Engineering; Frequency modulation; Radio frequency","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000396544,0.000362561,0.000345069,0.0001251661,0.0003477142,0.00007720536,0.0001439577,0.0001997449,0.00009999311],"category_scores_gemma":[0.000005476641,0.0003352505,0.00006312175,0.0002415515,0.0003176132,0.0002077654,0.000003233037,0.0005164494,0.00001316549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006943298,"about_ca_system_score_gemma":0.00002251656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003405492,"about_ca_topic_score_gemma":0.000006153886,"domain_scores_codex":[0.9986683,0.0001237454,0.0003117347,0.0003466045,0.0001179526,0.0004317214],"domain_scores_gemma":[0.9991131,0.0002009531,0.00007021731,0.0003993395,0.0001065752,0.0001098448],"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":[0.001311948,0.000153673,0.00002020968,0.00009628844,0.0003113305,0.00001699453,0.001474264,0.00178118,0.9443926,0.002086106,0.0003000234,0.04805543],"study_design_scores_gemma":[0.0003657172,0.0004867276,0.00002823587,0.0002934866,0.00008851174,0.0000590935,0.00007480392,0.0004591663,0.9908426,0.00523432,0.00148896,0.0005784251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1089999,0.00004598724,0.8868184,0.000005706002,0.0003622778,0.0003527355,0.0000327984,0.001024107,0.002358091],"genre_scores_gemma":[0.9454397,0.00005831557,0.05371731,0.0001497011,0.0001289931,0.00004226789,0.000004599395,0.0001033135,0.0003557859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8364398,"threshold_uncertainty_score":0.9999099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348832417616889,"score_gpt":0.2352883061207046,"score_spread":0.2217999819445357,"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."}}