{"id":"W3077194662","doi":"10.1109/lssc.2020.3017075","title":"A Reconfigurable Passive Switched-Capacitor TX RF Front End With −57 dB ACLR2","year":2020,"lang":"en","type":"article","venue":"IEEE Solid-State Circuits Letters","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Alexander S. Onassis Public Benefit Foundation; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Analog Devices","keywords":"CMOS; Baseband; Electrical engineering; Front and back ends; Adjacent channel; Electronic engineering; Transmitter; RF front end; Switched capacitor; Computer science; Radio frequency; Capacitor; Amplifier; Engineering; Channel (broadcasting)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001735996,0.0008335365,0.0008522658,0.0002244695,0.00016761,0.0002605148,0.0007501522,0.0002333778,0.0004555502],"category_scores_gemma":[0.00007183892,0.0008043075,0.0002114582,0.0005766315,0.0002130451,0.0007011693,0.000003428503,0.001116735,0.001125244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005591837,"about_ca_system_score_gemma":0.0001509121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001257228,"about_ca_topic_score_gemma":0.00004616409,"domain_scores_codex":[0.9962192,0.000105484,0.0007779512,0.000903778,0.0006329367,0.001360635],"domain_scores_gemma":[0.9981191,0.0001579467,0.0001944167,0.0007100024,0.0001490469,0.0006695006],"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":[0.00002226303,0.00002436814,0.0001026284,0.000165381,0.0005038401,0.0007528954,0.004657073,0.04206255,0.8879557,0.0000296585,0.05555646,0.008167201],"study_design_scores_gemma":[0.002048592,0.0003336056,0.0003448124,0.0003065332,0.0002027147,0.0002151642,0.0006092327,0.007209165,0.9712071,0.0002543843,0.01513221,0.00213643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8169026,0.0006927953,0.1173394,0.006798453,0.004518377,0.002217436,0.0005578556,0.003788956,0.04718412],"genre_scores_gemma":[0.9917028,0.00008125409,0.000107515,0.006647461,0.0007299647,0.0002059529,0.00004054029,0.0003075453,0.000176948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1748002,"threshold_uncertainty_score":0.9996525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755396731058077,"score_gpt":0.2032831786181879,"score_spread":0.1857292113076072,"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."}}