Small‐bodied fish species from the western United States will be under severe water stress by 2040
Bibliographic record
Abstract
Abstract Human need to appropriate freshwater in combination with climate change has intensified the rapid decline in freshwater biodiversity. Based on 216 currently imperiled freshwater species in the United States, the Southwest, and the Rocky Mountains, were predicted to experience the highest increase in future water stress for 2040 in 41 minor watersheds. Resident‐small species in the Southwest, found in single locations (21.6%) or on local level (62.2%), were listed as endangered ( n = 37) and are predicted to experience severe water stress increases by 2040. Endangered species in the Rocky Mountains ( n = 9), were found on a basin or local level (33.3%), exhibiting predominantly potamodromous behavior (66.7%). Furthermore, many endangered species in key regions lack life‐history data (41%). Our results highlight that determining priority of species for conservation using biodiversity as an indicator may not be useful for identifying future impacts to imperiled species, since many regions undergoing high water stress did not coincide with biodiversity hotspots.
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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 | 0.000 | 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) | 0.003 | 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".