Seasonal dynamics of juvenile coho salmon (<i>Oncorhynchus kisutch</i>) in wetlands of the North Thompson River, British Columbia
Bibliographic record
Abstract
Freshwater fish such as juvenile salmon often rely on dynamic and diverse habitats such as wetlands. Although juvenile salmon wetland use is well documented, their use of freshwater wetlands in large river networks that vary in isolation and connection is not well known. We studied juvenile coho salmon use of three wetland sites along the North Thompson River, British Columbia, Canada, from May 2021 to October 2023 to understand how seasonal variation in wetland connectivity and water quality (temperature and dissolved oxygen) influence juvenile coho salmon habitat use. We used monthly mark–recapture sampling to estimate juvenile coho salmon abundance and density. Seasonal abundance and growth of juvenile coho salmon in wetlands were intertwined with connectivity and abiotic conditions. Age-0 juvenile coho salmon were recruited to wetlands during high spring flows and used wetland habitats year-round. Periods of high density and low oxygen were associated with lower growth and abundance. Our study also provides information on the timing of juvenile coho salmon use of wetland habitats, which can be used to inform habitat managers of times of year that pose the greatest risk and benefits to these fish.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 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".