{"id":"W2894233836","doi":"10.1109/tmtt.2018.2870443","title":"Modified Doherty Amplifier With Extended Bandwidth and Back-Off Power Range Using Optimized Peak Combining Current Ratio","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Predistortion; Amplifier; Bandwidth (computing); Electrical engineering; Materials science; Transistor; Electrical impedance; Power (physics); Electronic engineering; Optoelectronics; Computer science; Engineering; Physics; Telecommunications; Voltage","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":[0.0001740803,0.0005537249,0.0002851569,0.0002999753,0.0001714123,0.0005574774,0.001067424,0.0006234444,0.001242943],"category_scores_gemma":[0.0003470262,0.0002621661,0.0003494396,0.0004085413,0.0003518471,0.0008495419,0.0003041707,0.0004866976,0.0007838786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004018381,"about_ca_system_score_gemma":0.0001384685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003328492,"about_ca_topic_score_gemma":0.0006847826,"domain_scores_codex":[0.9996951,0.00003686929,0.00001946822,0.0001007511,0.0001050759,0.00004283611],"domain_scores_gemma":[0.9997706,0.00005683149,0.00005234974,0.00003861419,0.00006730024,0.00001426203],"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":[0.0001704475,0.00003355186,0.0005333491,0.0001024754,0.00004559503,0.0001873244,0.0001206657,0.003708227,0.9449793,0.005170392,0.000551104,0.04439757],"study_design_scores_gemma":[0.00008041243,0.0008969568,0.002181712,0.00003586269,0.0001676642,0.002603231,0.00008288732,0.1132202,0.8377854,0.003184191,0.03968571,0.00007579933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2598965,0.001748224,0.7206064,0.000614581,0.0002492793,0.0001067092,0.0001897334,0.0018855,0.01470298],"genre_scores_gemma":[0.9086084,0.0005316074,0.08580573,0.0001930916,0.0001197523,0.00006332941,0.000100435,0.00005979075,0.00451788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001242943,"threshold_uncertainty_score":0.00415802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176847593764429,"score_gpt":0.256742093769885,"score_spread":0.2390573343934422,"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."}}