{"id":"W2105900440","doi":"10.1109/tcsi.2010.2055610","title":"Gain-Enhanced Distributed Amplifier Using Negative Capacitance","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"CMC Microsystems","keywords":"Fully differential amplifier; Direct-coupled amplifier; Distributed amplifier; Amplifier; Gain–bandwidth product; Open-loop gain; Capacitor; Electrical engineering; Operational amplifier; Capacitance; RF power amplifier; Bandwidth (computing); Parasitic capacitance; Electronic engineering; Materials science; Optoelectronics; Computer science; Engineering; CMOS; Physics; Telecommunications; Voltage; Electrode","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001245701,0.0004018971,0.0002298939,0.0002781243,0.0002579198,0.0005569904,0.001386259,0.0005393758,0.001542657],"category_scores_gemma":[0.0003765253,0.0001683754,0.0002191395,0.0003128126,0.0003747708,0.0009252588,0.0005257983,0.0004726697,0.0006100636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005659506,"about_ca_system_score_gemma":0.0002321751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005707325,"about_ca_topic_score_gemma":0.001571581,"domain_scores_codex":[0.9997389,0.00001766615,0.000008178073,0.00006548547,0.0001411806,0.00002846805],"domain_scores_gemma":[0.9998229,0.00002954608,0.00002468691,0.00002097162,0.0000833451,0.00001858349],"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":[0.0000570333,0.0000233583,0.0001282192,0.00004025496,0.000008334974,0.00009248108,0.00004200462,0.001495712,0.9749245,0.003773246,0.0003018382,0.01911299],"study_design_scores_gemma":[0.00008731691,0.0006027738,0.0007696243,0.00001806491,0.00006706898,0.001096107,0.00003862571,0.0842244,0.8917099,0.002325556,0.01900602,0.0000545707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3682338,0.001270059,0.6047631,0.0007725132,0.0003435049,0.00008505497,0.000106128,0.001662783,0.02276303],"genre_scores_gemma":[0.9187464,0.0003073418,0.07480492,0.0001652082,0.00008827553,0.00002146835,0.0000542128,0.00004941015,0.005762816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001542657,"threshold_uncertainty_score":0.005160689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173582909531265,"score_gpt":0.2145900224045121,"score_spread":0.1972317314513856,"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."}}