Bibliographic record
Abstract
Summary form only given. The rules are changing for highly integrated analog circuit design in modern sub-micron technologies. In modern technologies, the analog circuits are usually realized using thick-oxide options with older generation transistors. This makes it difficult to increase the speeds or lower the power or area for the analog circuits. In addition, the mask and processing costs are sky-rocketing, which makes iterating a couple of times to get analog circuits working not an option. What is one to do? High-precision analog and mixed-mode design using CMOS technologies, with minimum dimensions of 0.13/spl mu/m, 0.09/spl mu/m, and smaller, is increasingly difficult primarily due to technology (that is transistor and component) imperfections and to reduced voltage head-room limitations. First, typical sub-micron CMOS technologies, and their limitations, as they relate to analog and mixed mode design are described. Next circuit and design methodologies and practices suitable for sub-micron technologies which attempt to circumvent many of the limitations are presented. Finally, reliability issues are discussed, and a number of issues and considerations specific to analog design using sub-micron technologies are discussed.
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 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 | 0.000 | 0.000 |
| 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 | 0.000 |
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 teacher head, 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".