{"id":"W4242892308","doi":"10.1109/ecwt.2005.1617721","title":"DSP-Based Technique for Power Efficiency Improvement in Low-IF 5 GHz WLAN Transmitter","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Oversampling; Transmitter; Amplifier; Predistortion; Clipping (morphology); Electronic engineering; Power (physics); Electrical engineering; Electrical efficiency; Computer science; SIGNAL (programming language); Engineering; CMOS; Channel (broadcasting); 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":[0.000136894,0.0001950086,0.0001666313,0.0001486076,0.0000227993,0.00001679818,0.0001465426,0.00009192081,0.0001313948],"category_scores_gemma":[0.000003767566,0.0001856466,0.00007323907,0.0001782712,0.00002059816,0.00007637943,0.000005574203,0.0001191636,0.00001585562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001101349,"about_ca_system_score_gemma":0.00001616397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002783692,"about_ca_topic_score_gemma":0.00002311112,"domain_scores_codex":[0.9989489,0.000007015184,0.000297937,0.0002282993,0.0001151154,0.0004026845],"domain_scores_gemma":[0.9996147,0.00005868634,0.0000163231,0.0002473635,0.00002216517,0.00004081088],"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":[0.00004735348,0.0002694374,0.0004497087,0.0002667196,0.00001216136,0.00001381151,0.0001239276,0.1925893,0.8004143,0.001238121,0.00302309,0.00155214],"study_design_scores_gemma":[0.001879594,0.0002457898,0.000845507,0.00007619718,0.00000942987,0.000002029517,0.00003004263,0.0814523,0.9049423,0.0026567,0.007178519,0.0006815654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01162546,0.00003622037,0.9813741,0.00006991081,0.0001334551,0.001144896,0.00001289677,0.0003648385,0.005238241],"genre_scores_gemma":[0.958913,7.631846e-7,0.03994915,0.0002045355,0.00003177751,0.0005140958,0.00001245912,0.00005664943,0.0003175765],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9472876,"threshold_uncertainty_score":0.7570449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00444810683674091,"score_gpt":0.2077627124372645,"score_spread":0.2033146056005236,"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."}}