Small‐bodied fish species from the western United States will be under severe water stress by 2040
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 it