Bibliographic record
Abstract
A new area efficient CMOS current-mode 4-PAM 10 Gb/s serial link transmitter is presented. The pre-emphasis of the proposed transmitter is realized by employing a delay block for each pre-emphasis tap such that the degree of each pre-emphasis tap can be tuned individually and independent of the current symbol. The multiplexing-at-input approach of the serializer ensures that the transistors of the multiplexing branches are minimum sized. A differential output current is obtained from a class AB pre-amplifier and a push-pull configured current-symbol driver and pre-emphasis drivers. The proposed transmitter minimizes the noise injected to the power and ground rails by drawing a constant current from the power supply and electromagnetic interference exerted from the channel to neighboring devices by conveying an output current of the same amplitude but opposite polarities to the channel. Implemented in a 1.2V 0.13/spl mu/m CMOS technology, the transmitter outputs a 3.5 mA peak-to-peak differential output current to the channel, consumes 19.2 mW DC power with inverter buffer chain. The current received at the far end of a 10-cm FR-4 cable has eye-width of 185 ps and eye-height of 1.21 mA.
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".