Conceptual Water Sharing Plan for Tarrant Regional Water District (TRWD) and the City of Dallas, TX
Bibliographic record
Abstract
In North Texas, the Tarrant Regional Water District (TRWD) and the City of Dallas both require major new pipelines to bring water from East Texas. Agreements have been reached to share new conveyance infrastructure, which will be jointly funded and used to save hundreds of millions of dollars in capital costs when compared to building independent pipelines. A shared pipeline will also link the two agencies' water supply reservoir systems, creating the potential to share water supply. Preliminary assessments of water sharing suggested there may be beneficial opportunities to either improve supply reliability or reduce operating costs under certain conditions. The analysis focused on a variety of ways that each supplier could share supply with the other. Rules and operational strategies were tested with an integrated operations model. The most promising concepts were refined, rules were developed to initiate and terminate water sharing, and these results were used to suggest an operational strategy for this type of water sharing.
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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 | 0.000 | 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 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".