{"id":"W3025653889","doi":"10.1109/access.2020.2994318","title":"Efficiency Analysis of Concurrently Driven Power Amplifiers","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"Tone (literature); Amplifier; SIGNAL (programming language); Computer science; Power (physics); Nonlinear system; Amplitude; Electronic engineering; Physics; Telecommunications; Bandwidth (computing); Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00004434744,0.0001558238,0.0003515947,0.0001857693,0.00002465705,0.00003677179,0.0005466069,0.00005550194,0.0002459178],"category_scores_gemma":[0.00003090828,0.0001619237,0.0001447611,0.001575328,0.00005619671,0.0002582145,0.00003711799,0.0001366939,0.0000336384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002958769,"about_ca_system_score_gemma":0.00001446897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005746117,"about_ca_topic_score_gemma":0.000002606477,"domain_scores_codex":[0.9990175,0.00001747995,0.0002931769,0.0002272391,0.0002060463,0.0002385918],"domain_scores_gemma":[0.9993955,0.00007793932,0.00006077767,0.0002660961,0.00005724239,0.0001424509],"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":[0.00001260706,0.000022699,0.006691601,0.00005491242,0.0006952922,0.000008052849,0.001136829,0.9720829,0.0145861,0.000292564,0.00332163,0.001094812],"study_design_scores_gemma":[0.001939711,0.0002652839,0.02434925,0.00007478464,0.002596994,0.000002747024,0.0004485903,0.8074411,0.1404639,0.0004829421,0.01990669,0.002027975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1870457,0.0002027075,0.808013,0.00003494271,0.0004493351,0.0001472638,0.00005474769,0.0002682473,0.003784063],"genre_scores_gemma":[0.9994398,0.00001952216,0.0003089482,0.0001416157,0.00003454506,0.000008473181,0.000009690119,0.00002722349,0.00001016427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8123941,"threshold_uncertainty_score":0.6603056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03661766068120956,"score_gpt":0.2913860538119472,"score_spread":0.2547683931307376,"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."}}