{"id":"W2060913556","doi":"10.1109/tcsi.2013.2268132","title":"Novel Dual-Band Matching Network for Effective Design of Concurrent Dual-Band Power Amplifiers","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Amplifier; Multi-band device; Impedance matching; Electronic engineering; Electrical impedance; Computer science; Transistor; Harmonics; Electrical engineering; Engineering; Telecommunications; Bandwidth (computing); Antenna (radio); 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":[0.0002237771,0.0005245466,0.0002644748,0.0004002204,0.0002464945,0.0005637062,0.0007168367,0.0004381546,0.001473071],"category_scores_gemma":[0.0004262583,0.0003298976,0.0002773146,0.0002781985,0.0002545359,0.0008127933,0.0004231104,0.0004019818,0.000595291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004402729,"about_ca_system_score_gemma":0.0003342725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000253041,"about_ca_topic_score_gemma":0.0005129013,"domain_scores_codex":[0.9997399,0.00004167277,0.00001590378,0.00007139723,0.0001015232,0.0000296133],"domain_scores_gemma":[0.9998616,0.00003121904,0.00004572777,0.00001546689,0.00003761475,0.00000821908],"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":[0.0001630216,0.000100864,0.0004986815,0.0002738306,0.00005356281,0.0001898492,0.0001437833,0.05999988,0.7291954,0.04839159,0.0008420144,0.1601477],"study_design_scores_gemma":[0.00007842359,0.000602167,0.0004777159,0.00004744561,0.00007705504,0.0005480216,0.00004297225,0.646789,0.3067118,0.009963749,0.03462351,0.00003814333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02722998,0.0002134229,0.9657913,0.00006060354,0.00003993825,0.00008751404,0.00002249191,0.0003170884,0.006237829],"genre_scores_gemma":[0.4411016,0.000269044,0.5545356,0.00006729887,0.00003658655,0.0002055931,0.0000642924,0.00007368264,0.003646316],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001473071,"threshold_uncertainty_score":0.004927933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698476593609438,"score_gpt":0.2208809303262592,"score_spread":0.2038961643901648,"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."}}