{"id":"W2603224935","doi":"10.1109/pawr.2017.7875575","title":"Joint RF pre-distortion and post-distortion linearization of small cell power amplifiers","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Linearization; Amplifier; Adjacent channel; Nonlinear distortion; Control theory (sociology); Bandwidth (computing); Distortion (music); RF power amplifier; Electronic engineering; Predistortion; Dynamic range; Linearity; Computer science; Mathematics; Engineering; Physics; Telecommunications; 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":[0.0001093317,0.0001478229,0.0001690949,0.00007809942,0.0001162642,0.0000476467,0.0001164575,0.0001005599,0.00006682333],"category_scores_gemma":[0.00006403192,0.0001533579,0.00004313451,0.00003413172,0.00006639664,0.0002977081,0.00003602885,0.0001034611,0.00001236556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007243337,"about_ca_system_score_gemma":0.00001379857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006544164,"about_ca_topic_score_gemma":0.00002710048,"domain_scores_codex":[0.9992324,0.00001038446,0.0002813694,0.0001901814,0.0001158701,0.0001697903],"domain_scores_gemma":[0.9992149,0.0000162396,0.0001337922,0.0004559514,0.00009704699,0.00008204395],"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":[0.0001359423,0.0001583074,0.01038961,0.0006472208,0.00009669418,0.000007674531,0.003293065,0.04401162,0.9195487,0.003027639,0.00195371,0.01672983],"study_design_scores_gemma":[0.002283293,0.0005550647,0.3705949,0.0001656164,0.0001476313,0.00001940433,0.0003846934,0.0369021,0.5769757,0.002951205,0.007551987,0.001468383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2342731,0.0001359015,0.7534044,0.00002168051,0.0003706609,0.0002278452,0.00001129795,0.0001707551,0.01138434],"genre_scores_gemma":[0.9927417,0.00003928766,0.005997785,0.00002195763,0.000033303,0.00001017134,0.00002383081,0.0000369168,0.00109503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7584686,"threshold_uncertainty_score":0.6253753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426071984983128,"score_gpt":0.2165251749424795,"score_spread":0.2022644550926482,"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."}}