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
Nicola Nicolici: Good evening, Janet. Welcome. This is an IEEE Design&Test interview and to start with, I just kind of want to make a very, very short introduction. Janet Olson has been a technology executive with extensive leadership experience in two Fortune 500 semiconductor design automation companies: Cadence Design Systems and Synopsis. Janet delivers high-caliber software enabling the design of complex integrated circuits fabricated using leading semiconductor manufacturing technologies. She works closely with multiple semiconductor companies, including automotive, industrial robotics, and semiconductor equipment manufacturers. Janet has been recognized with the 2017 Marie Pistilli Electronic Design Award awarded annually to a female with outstanding achievements in the EDA industry and the 2016 WCA Tribute to Women Award. Welcome, Janet. So, to get us started, probably you can tell us a bit more about your educational interests while growing up. And how did you become drawn to study electrical and computer engineering?
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 | 0.000 | 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 it