Global change implications on long-term water supply and demand forecasts in the Columbia River Basin
Bibliographic record
Abstract
The Columbia River Basin (CRB) encompasses parts of seven US states and British Columbia in Canada over a land mass approximately the size of France. It is a vital part of the ecosystem and economies of the entire region. The CRB, like many watersheds around the world, is experiencing increased pressure on water resources and ecosystems, due to population growth, threatened and endangered species, economic development, and climate change. Irrigation is responsible for the majority of consumptive use in the watershed so the implications of climate change are a tremendous concern as we strive to feed a growing population. To facilitate strategic planning and investment, the State of Washington requires a long-term water supply and demand forecast (the Forecast) every five years. An interdisciplinary WSU research team integrated three biophysical models with an agricultural economics model to conduct a system-wide assessment of how future environmental and economic conditions are likely to change water supply and demand by 2030. Timing of supply changes will shift water away from the Sustainable Irrigation and Drainage IV 77 www.witpress.com
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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".