Implications of space use for recovery of white sturgeon <i>Acipenser transmontanus</i> in a transboundary reach of the Upper Columbia River
Bibliographic record
Abstract
Conservation aquaculture has prevented extirpation of Upper Columbia River white sturgeon Acipenser transmontanus, but uncertainty remains on how hatchery-origin fish move between habitats located within Canada and the United States. We describe how core and home ranges of sturgeon varied by environmental (country, season) and biological (age, sex, size) factors and determined residence at important habitats. Core range represented areas where individuals spent the majority of their time, while home range represented most areas occupied. Fidelity to specific habitats was high, with home ranges averaging 10 km2 and 50% of individuals occupied the same core range across their entire detection period. Only 12% of individuals had home ranges encompassing both countries. Core and home ranges were larger during the summer compared to winter and larger within the United States compared to Canada. Larger (>120 cm) sturgeon had increased core and home ranges. We documented spawning capable hatchery-origin males and confirmed their residence at spawning sites when spawning was detected. Results improve our understanding of species biology and directly inform adaptive management of population recovery.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".