Risk and Consequence Analysis Focused on Biota Transfers Potentially Associated with Surface Water Diversions Between the Missouri River and Red River Basins
Bibliographic record
Abstract
Section 1 provides a brief overview of the project, including a cursory summary of the history of the “Garrison Diversion” and how that history relates to this work focused on the analysis of risks and consequences potentially associated with interbasin biota transfers. The present study was initiated under the auspices of the Dakota Water Resources Act (DWRA) of 2000, which directed the Secretary of the Interior to conduct a comprehensive study of the water quality and quantity needs of the Red River Valley and the options for meeting those needs. As such, the Bureau of Reclamation (Reclamation) requested technical support from the U.S. Geological Survey (USGS) Columbia Environmental Research Center (CERC) for an evaluation of the risks and economic consequences of biota transfers potentially associated with interbasin water transfers that might occur between the Upper Missouri River and the Red River of the North (Red River) basins. Pursuant to guidance from National Academy of Sciences, National Invasive Species Council, regulatory agencies (e.g., US Environmental Protection Agency), and nongovernmental organizations such as The Nature Conservancy and awardees of Sea Grant program support, USGS/CERC entered into an iterative risk-assessment process with stakeholders interested in the biota transfer issue. Section 1 summarizes the implementation of the stepwise risk-assessment process, with the primary outcomes of the section detailed in the problem formulation phase of the USGS technical support project. Outcomes of problem formulation were focused on identifying biota of concern and related issues associated with interbasin biota transfers, pathways potentially linking Missouri River and Red River basins, and the potential confounding factors that might influence the interpretation of cause-effect relationships predicated on biota transfers, if these events did occur in the future.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".