Bibliographic record
Abstract
Arizona State University executive vice president and chief research and innovation officer Sethuraman “Panch” Panchanathan is the choice of US president Donald J. Trump to head the National Science Foundation. If confirmed by the Senate, Panchanathan would replace current NSF director France Córdova, whose 5-year term ends in March. “I am heartened at the idea of Panch as my successor,” Córdova says in a statement. Panchanathan “has the character and knowledge that make him an ideal fit for the job,” she says. Panchanathan has been a member of the US National Science Board, which oversees the NSF, since 2014. A specialist in electrical engineering and informatics, he is a fellow of the National Academy of Inventors, the Canadian Academy of Engineering, the Institute of Electrical and Electronics Engineers, and the Society of Optical Engineering. Panchanathan, a senior adviser for science and technology to Arizona governor Doug Ducey, served on the
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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 | 0.001 | 0.001 |
| 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 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".