Bibliographic record
Abstract
A surface acoustic wave (SAW)-less receiver with a quantized analog RF front end is presented. The front end is composed of 100 smaller unit front ends, each one dedicated to process only a portion of the input signal. This allows the compression point of the structure to be increased beyond the voltage supply and to reconfigure the dynamic range to fit different operative conditions. A prototype integrated in 65-nm CMOS is presented, where the 1-dB compression point can go up to 10.5 dBm under 0.8-V supply, while the noise figure can be lowered down to 1.5 dB. The RF front end and the baseband burn 14 mW, while clock generation and distribution burn 37.2 mW/GHz. Upon the configuration, IIP3 varies between 1 and 20.5 dBm, while IIP2 between 35 and 75 dBm with a single-ended structure. The third- and fifth-order harmonic rejections are over 40 and 47 dB, respectively. The active area is only 0.25 mm2.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".