{"id":"W4401110126","doi":"10.1109/ims40175.2024.10600420","title":"39 GHz Transmit/Receive Front-End-Module with Back-Off Efficiency Enhancement for 5G Communication","year":2024,"lang":"en","type":"article","venue":"","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Front and back ends; Computer science; Electrical engineering; Front (military); Telecommunications; Computer network; Computer hardware; Electronic engineering; Engineering; Operating system","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":[0.0002532512,0.0005217218,0.0003723836,0.000336238,0.0001976588,0.0003430505,0.0007813855,0.0005022197,0.006198492],"category_scores_gemma":[0.0001849929,0.0001928024,0.0003834745,0.0002420712,0.0001334199,0.0004953119,0.0003101246,0.0003072869,0.0032283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003575074,"about_ca_system_score_gemma":0.0001434361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002525354,"about_ca_topic_score_gemma":0.0007021737,"domain_scores_codex":[0.9997318,0.00003832851,0.000009551517,0.00004986795,0.0001200741,0.00005032929],"domain_scores_gemma":[0.9999063,0.00001673968,0.00002292837,0.00001577826,0.0000301226,0.000008182298],"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":[0.0004005521,0.0001323237,0.002503956,0.0002208467,0.0001147192,0.0003265833,0.0001567556,0.003257256,0.8591292,0.006447153,0.005184911,0.1221257],"study_design_scores_gemma":[0.0000565338,0.001169135,0.006123612,0.00004127256,0.0001774616,0.001502723,0.00005477292,0.03579919,0.8818099,0.0006400437,0.07258675,0.00003867961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3056868,0.001017852,0.644366,0.0005539633,0.0001814379,0.0001654857,0.0004183736,0.007161346,0.04044876],"genre_scores_gemma":[0.7927644,0.0004722113,0.1728126,0.0005339032,0.0001486151,0.00008055611,0.0005974961,0.0003823701,0.03220783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006198492,"threshold_uncertainty_score":0.02073604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258658967574053,"score_gpt":0.2260979803206723,"score_spread":0.2135113906449318,"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."}}