{"id":"W4235482258","doi":"10.1109/pawr.2013.6490185","title":"NARMA-based linearization of RF power amplifiers with non-monotonic response under dynamic hardware reconfiguration","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Amplifier; Predistortion; Linearization; RF power amplifier; Electronic engineering; Computer science; Electrical engineering; Radio frequency; Control reconfiguration; Linear amplifier; Impedance matching; Electrical impedance; Control theory (sociology); Engineering; Physics; Nonlinear system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000166255,0.0003473554,0.0001913417,0.000138965,0.000169253,0.0003836018,0.0004447523,0.0002116818,0.001469724],"category_scores_gemma":[0.0004780764,0.0001480556,0.0002394041,0.00009596175,0.0003380511,0.0004138931,0.0002477678,0.0004197083,0.0006766333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002784379,"about_ca_system_score_gemma":0.0001858132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003156794,"about_ca_topic_score_gemma":0.0007874381,"domain_scores_codex":[0.999832,0.0000366195,0.00000876372,0.00003564548,0.00006772572,0.00001912636],"domain_scores_gemma":[0.9998335,0.00006505084,0.00003151045,0.00002604542,0.00003850475,0.000005407671],"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":[0.0001335736,0.00002715747,0.0002551852,0.000174304,0.00003264763,0.0003063258,0.0002249497,0.03289447,0.8937741,0.01412026,0.0003387813,0.05771821],"study_design_scores_gemma":[0.00002331573,0.0004722602,0.0007483877,0.00003926937,0.00004554445,0.0005761831,0.00006174269,0.3376303,0.645135,0.003729329,0.01150409,0.00003466039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1014416,0.000592223,0.8770685,0.0002204802,0.00007952791,0.000107189,0.00004135256,0.001351465,0.01909756],"genre_scores_gemma":[0.9171097,0.0002568391,0.07416989,0.0000930813,0.00004046853,0.0000621451,0.00004109026,0.00005919836,0.008167594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001469724,"threshold_uncertainty_score":0.004916728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005329725206249377,"score_gpt":0.2075628552397857,"score_spread":0.2022331300335364,"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."}}