{"id":"W2145608641","doi":"10.1109/rws.2008.4463601","title":"On the outphasing power amplifier nonlinearity analysis and correction using digital predistortion technique","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Predistortion; Amplifier; Baseband; Nonlinear system; Electronic engineering; Power (physics); Computer science; Nonlinear distortion; Engineering; Physics","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":[0.00008796308,0.0001391943,0.0001403159,0.0001528559,0.0001612765,0.00004822517,0.00005743304,0.00007189399,0.00004924279],"category_scores_gemma":[0.00005584014,0.0001086565,0.00006564651,0.0004443251,0.00006204606,0.0002642227,0.00001662433,0.0001826189,0.000006080493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001101362,"about_ca_system_score_gemma":0.00000843788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001759137,"about_ca_topic_score_gemma":0.000005833808,"domain_scores_codex":[0.9993426,0.00001587934,0.0001675579,0.0001775976,0.0001369049,0.000159515],"domain_scores_gemma":[0.9995463,0.000114445,0.00002900644,0.0002271418,0.00003572701,0.00004739264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002038096,0.0003893781,0.06503253,0.00005638076,0.001851661,0.00007056524,0.003066197,0.8383758,0.06687694,0.001707404,0.007790218,0.01457911],"study_design_scores_gemma":[0.0003399089,0.000128396,0.02045129,0.00004417033,0.0002795909,0.0002421029,0.0002145385,0.9398124,0.03400616,0.00129783,0.002322571,0.0008610712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2483767,0.00001873057,0.7474998,0.000007805979,0.0001926623,0.0001614038,0.000006568525,0.0002586114,0.003477693],"genre_scores_gemma":[0.9952735,0.000007212768,0.004397584,0.00003061786,0.0000294803,0.00001185447,0.000008442043,0.00002304311,0.0002183128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7468968,"threshold_uncertainty_score":0.4430885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841644956467943,"score_gpt":0.2272456073818368,"score_spread":0.2088291578171574,"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."}}