Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Recently, designers have been using the energy-delay product as a metric of goodness for CMOS designs due to certain perceived shortcomings of the more traditional power-delay product. As the industry moves to 90 nm technology, with higher leakage currents, it is an appropriate time to revisit existing design metrics. We provide a more general view of power and delay metrics for design optimization and then illustrate how these metrics can be used. To do so, a re-evaluation of the metrics, based on past and future trends, is carried out and a set of new metrics is proposed. Interestingly, the dominance of leakage power at 90 nm technology and beyond tends to reduce the feasible operating region. We also establish a fundamental relationship between the optimal operating points and the generalized design metrics. Moreover, our initial findings indicate that some designs may need to leak more than expected to achieve certain design targets, running somewhat counter to conventional wisdom.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it