Bibliographic record
Abstract
An active mixer using a Gilbert-cell topology that incorporates a low-noise RF transconductance stage is presented in this paper. The chip operates at a frequency of 5.4 GHz and was fabricated in 180 nm CMOS technology. A current-bleeding circuit is used to provide different dc bias currents to the LO switching stage and the RF transconductors. The transconductor, designed using the power constrained simultaneous noise and input match technique, together with the bleeding circuit enables the mixer to have a measured single-sideband noise figure of 7.8 dB and a power conversion gain of 13.1 dB. The measured input-referred 1-dB compression point, IP1dB is -17.8 dBm while its OP1dB is -5 dBm. A two-tone test was carried out and the mixer exhibits an IIP3 of -6.2 dBm and an OIP3 of +6.9 dBm. All of the inductors are on-chip and the size of the mixer core is only 380 μm x 350 μm (0.133 mm2).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".