{"id":"W2112946371","doi":"10.1002/mop.24657","title":"A load network for Doherty amplifiers using an optimized impedance transformer","year":2009,"lang":"en","type":"article","venue":"Microwave and Optical Technology Letters","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Research Foundation of Korea","keywords":"Amplifier; Doherty amplifier; Transformer; Electrical engineering; Electrical impedance; Electronic engineering; dBc; Microwave; Engineering; Input impedance; Telecommunications; RF power amplifier; Voltage; CMOS","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001307785,0.0002664237,0.0003408189,0.000100698,0.0001161226,0.00003374949,0.0001852295,0.0002864083,0.000004360163],"category_scores_gemma":[0.00001763933,0.0002655464,0.0000741543,0.0002480898,0.0002263207,0.0001742255,0.000009118128,0.0003180688,0.00000319827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009810618,"about_ca_system_score_gemma":0.00001401564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.881321e-7,"about_ca_topic_score_gemma":0.000001925515,"domain_scores_codex":[0.998613,0.000009557825,0.0002593464,0.0003540112,0.0000778284,0.0006862307],"domain_scores_gemma":[0.9995009,0.00005430781,0.00002333572,0.0002792854,0.00003109396,0.0001110795],"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":[0.00008664414,0.00002221894,0.00002366364,0.00002040613,0.00005070466,0.00001570203,0.00008448113,0.02580644,0.9393855,0.002566395,0.0007059301,0.03123192],"study_design_scores_gemma":[0.01047583,0.001275499,0.000252192,0.0002781151,0.0005110945,0.0006755865,0.0004421234,0.1766053,0.7029321,0.07723746,0.02550251,0.003812199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2340837,0.0004539858,0.7634847,0.0009480775,0.0001001344,0.0003316851,0.000005193279,0.0004466049,0.000145905],"genre_scores_gemma":[0.5373996,0.00006610422,0.4605309,0.001815757,0.00009925288,0.00002802242,0.000006327769,0.00004533184,0.000008666333],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3033159,"threshold_uncertainty_score":0.9999797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489611403314253,"score_gpt":0.2448929314462363,"score_spread":0.2299968174130938,"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."}}