Freshwater life-cycle timing of Pacific salmon and steelhead (<i>Oncorhynchus</i> spp.) in Canada
Bibliographic record
Abstract
Information on species’ phenology and distribution is essential for assessing and mitigating exposure to pressures that vary over space and time, such as development projects or climate changes. Pacific salmon ( Oncorhynchus spp.) have complex life cycles that span freshwater and marine environments and unfold over several years and many thousands of kilometers. Currently, there is no central repository of life-cycle timing for salmon and steelhead populations throughout their Canadian range, hindering conservation and recovery efforts. To fill this gap, we have compiled timing data for fry migration from incubation to rearing grounds, juvenile migration from rearing grounds to the ocean, adult entry into rivers, and spawning for salmon and steelhead from British Columbia and the Yukon, Canada. For each species, we analysed the compiled data using linear models to describe patterns in population-specific timing across latitude, distance from the ocean, river gradient, and life-history types. Although we found significant data gaps in remote regions, our compiled dataset represents the best-available information on life-history timing that can inform environmental planning and salmon conservation actions
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".