{"id":"W2169023753","doi":"10.5539/mas.v6n2p2","title":"An Optimized Highly Efficient RF Power Amplifier for WLAN System Application","year":2012,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amplifier; RF power amplifier; Linearity; Power (physics); dBm; Operational transconductance amplifier; Power-added efficiency; Computer science; Electronic engineering; Linear amplifier; Electrical engineering; Telecommunications; Operational amplifier; Bandwidth (computing); Engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103133,0.0003196951,0.0002358085,0.0001707166,0.000166419,0.0004773922,0.0005208992,0.0003472938,0.002419347],"category_scores_gemma":[0.0002261694,0.0001806462,0.0002085187,0.0001913868,0.00009502176,0.0004162716,0.0001644564,0.0002745418,0.0009191595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003310706,"about_ca_system_score_gemma":0.0002176627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004326051,"about_ca_topic_score_gemma":0.0008839285,"domain_scores_codex":[0.999832,0.00001881508,0.000009988658,0.00004718774,0.00007040319,0.00002149512],"domain_scores_gemma":[0.9999232,0.00001028653,0.00001511992,0.000008245685,0.00003742316,0.00000563303],"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":[0.0001592692,0.00005517504,0.0007933284,0.00009522488,0.00004818836,0.0001551041,0.00005491744,0.005691243,0.9297804,0.004401905,0.001964764,0.05680053],"study_design_scores_gemma":[0.00008928278,0.0007903144,0.003401673,0.0000295501,0.0001376611,0.001493365,0.00004653399,0.201835,0.7466042,0.001150523,0.04437387,0.00004805236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2762078,0.001069606,0.6905594,0.0005714506,0.000175282,0.0002025023,0.0002988865,0.001897679,0.02901737],"genre_scores_gemma":[0.8822607,0.0003274854,0.1049128,0.0001433381,0.00006633498,0.00006850664,0.0001584597,0.00006390388,0.01199847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002419347,"threshold_uncertainty_score":0.008093536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156436400033049,"score_gpt":0.2433052820461519,"score_spread":0.2317409180458214,"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."}}