{"id":"W2338827210","doi":"10.1109/tmtt.2016.2550039","title":"Power-Scalable Wideband Linearization of Power Amplifiers","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Adjacent channel; Amplifier; Wideband; Linearization; Electronic engineering; Bandwidth (computing); RF power amplifier; Electrical engineering; Power bandwidth; Broadband; Engineering; Adjacent channel power ratio; dBc; Computer science; Telecommunications; CMOS; Physics; Nonlinear system","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":[0.000262145,0.0001833149,0.0001895196,0.000168437,0.00006480316,0.00001271292,0.00009423863,0.0001326365,0.0002080527],"category_scores_gemma":[0.00000721268,0.0001460503,0.00006147521,0.0001435221,0.0001651352,0.0002014739,0.000001085643,0.0001327919,0.00001144636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003992896,"about_ca_system_score_gemma":0.00001043612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001098673,"about_ca_topic_score_gemma":0.000001058923,"domain_scores_codex":[0.9992345,0.00006328986,0.0002364214,0.0001909612,0.00008216815,0.0001926445],"domain_scores_gemma":[0.9993477,0.0002407611,0.00003781141,0.0002598753,0.00005039694,0.00006346738],"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":[0.0001086465,0.00003313203,0.000003674808,0.00002069172,0.00004062348,0.000001285583,0.0001676762,0.0001227616,0.9689294,0.004726207,0.000161722,0.0256842],"study_design_scores_gemma":[0.0001896259,0.0001381589,0.0000035329,0.0001046693,0.00001758173,0.00001140282,0.00003134353,0.00000443087,0.9764197,0.02075968,0.00213337,0.0001864377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01974729,0.0001080619,0.9750158,0.00001946115,0.0001365362,0.0002130558,0.0000465467,0.0005211749,0.004192066],"genre_scores_gemma":[0.9924777,0.0002742019,0.006450302,0.00004682141,0.000008614375,0.0000279226,8.955589e-7,0.00004744848,0.0006660556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9727305,"threshold_uncertainty_score":0.5955759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00659716367630635,"score_gpt":0.2169034175383477,"score_spread":0.2103062538620413,"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."}}