{"id":"W2746244107","doi":"10.1109/tcpmt.2017.2734639","title":"A Dual-Mode Wideband +17.7-dBm 60-GHz Power Amplifier in 65-nm CMOS","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Components Packaging and Manufacturing Technology","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Amplifier; RF power amplifier; Power bandwidth; Electrical engineering; dBm; Power-added efficiency; Cascode; Wideband; CMOS; Linear amplifier; Power gain; Direct-coupled amplifier; Electronic engineering; Impedance matching; Transformer; Bandwidth (computing); Materials science; Electrical impedance; Engineering; Voltage; Operational amplifier; Telecommunications","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"],"consensus_categories":[],"category_scores_codex":[0.0001416016,0.000414223,0.0004300388,0.0008532588,0.0004695057,0.0001533687,0.0004565609,0.0003906226,0.00006251074],"category_scores_gemma":[0.000009317406,0.0004318571,0.00008192783,0.0001068436,0.0002633834,0.0002986056,0.000002734712,0.001069727,0.00004898398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001924001,"about_ca_system_score_gemma":0.00001615839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002228167,"about_ca_topic_score_gemma":0.0001611012,"domain_scores_codex":[0.9982502,0.00003017964,0.0003778645,0.0005139794,0.0001825532,0.0006451607],"domain_scores_gemma":[0.9987034,0.00006390002,0.00007980286,0.001014134,0.00002175982,0.0001170156],"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":[0.0001554586,0.0005819027,0.001376327,0.0002879052,0.0008933878,0.001216539,0.001538144,0.2051618,0.6034994,0.000512061,0.001789666,0.1829874],"study_design_scores_gemma":[0.00164958,0.0001063686,0.003512093,0.0003856524,0.00005621873,0.000293765,0.0001283147,0.007304235,0.9782055,0.004611942,0.002906519,0.0008398027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8854822,0.0001312383,0.1072729,0.0006886914,0.001396224,0.0003395509,0.00003476658,0.001256307,0.003398103],"genre_scores_gemma":[0.9990059,0.0001577813,0.000306207,0.00004666853,0.00002139971,0.00008731781,0.000002449869,0.00007828901,0.0002939898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3747061,"threshold_uncertainty_score":0.9998133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016477537744574,"score_gpt":0.2400292295138812,"score_spread":0.2235516917693072,"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."}}