Wind resource assessment over large area using wind energy simulation toolkit (WEST)
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
WEST was used to create the Canadian and Chinese wind atlas using mosaic approach. The preliminary validation showed that WEST has simulated well the mean wind speed over the terrain lower than 1 km Above Sea Level (ASL). However, the model error is large over highlands such as in Qingzang Plateau and Tianshan Mountains of China. This may result from the classification scheme, in which geostropic wind at sea level was used. Interpolating meteorological variables from highlands (e.g. 3 km ASL) to sea level can generate large errors. A terrain following classification scheme is under development in order to minimize the simulation error over highlands. Inaccurate land-use data (or vegetation cover) was also identified as another source of simulation error. Sensibility study showed that an accurate specification of vegetation cover helped to improve the model simulations. It is important to use local high resolution surface database in WEST simulations.
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 | 0.000 |
| 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) | 0.071 | 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