Seasonal-Water Dams: A Great Potential for Hydropower Generation in Saudi Arabia
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
For so many decades, hydropower generation has been one of the most attractive and effective methods of electricity generation around the world. However, when it comes to countries with low or seasonal water-flow, hydropower generation is usually deemed infeasible. Despite not having continuously running rivers; Saudi Arabia is one of the richest countries in the region in rain water with hundreds of dams holding billions of cubic meters of water behind them. Nevertheless, to date, there is not a single dam that is used for hydropower generation in the Kingdom. This paper explores this missed opportunity by showing the practicality of generating electricity even from low and seasonal water dams. It presents examples of installed hydropower plants in the region and lists possible locations of candidate dams to install small hydropower plants in the Kingdom. Preliminary estimates of the available hydroelectricity generation from the recommended sites are also presented
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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 | 0.001 |
| 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