An Initial Tidal Power Resource Estimation at Jhari Creek of Indus Delta, Sindh, Pakistan
Bibliographic record
Abstract
Energy crisis in Pakistan is one of the severe challenges the country is facing today. Electricity is essential part of our daily life and its shortage has severely affected the economy and the other segments of society. This shortfall of electricity is increasing day by day and situation becomes worst especially in summer. The energy crisis are caused due to disproportionate dependence on non-renewable energy resources. The most effective solution that has been found to overcome such crisis is the use of tidal energy, because tidal energy has a significant advantage over many other forms of renewable energy as it is almost perfectly predicted over long time horizons. Therefore, first time an attempt has been made to estimate the tidal energy resources at Jhari creek of Indus Delta, Sindh, Pakistan. For this purpose real time tidal data is acquired from Pakistan Navy and tidal resources are estimated. Potential power density is calculated for the duration of four months May-August 2013 and found that highest potential mean spring power density was observed in June 2013 that was 1.67 W/m2.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".