Grid behavior: PMU-enabled dynamic state estimation [Editors’ Voice]
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
The notion of the state of health is widely used in asset management. For instance, electric vehicle batteries are replaced after they lose ∼30% capacity, which means that their state of health is not good enough for reliable use in day-to-day travels, even though they still possess 70% capacity. Estimating the state of health of an asset is difficult, and for a power grid spanning thousands of kilometers and interconnecting millions of components, it is barely imaginable. We use familiar biomedical tests, such as blood tests, to grasp quantitative information about the health of a person, which is then interpreted by a doctor. A similar measurement-based approach is adopted in power grid operations. Electronic devices located in substations acquire and process current and voltage signals, breaker status, meteorological data, etc., which are sent to control rooms for digestion and interpretation by power system operators.
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