Biological benchmarks and building blocks for aggregate-level management targets for Skeena and Nass Sockeye Salmon (Oncorhynchus nerka)
Bibliographic record
Abstract
Under the renewed Pacific Salmon Treaty (PST) provisions, Canada has agreed to complete a comprehensive escapement goal review for sockeye salmon (Oncorhynchus nerka) returning to the Skeena and Nass rivers, which include 31 stocks with a range of life histories and observed productivities. We tested alternative spawner-recruit model fits, developed guidelines for chosing alternative productivity scenarios based on the model fits, and calculated biological benchmarks for the selected scenarios. We also compare alternative approaches for combining stock-level estimates of biological benchmarks into aggregate reference points. A large proportion of sockeye salmon returns to the Skeena originates from the Babine Lake Development Project (BLDP), a low-intensity enhancement program that consists of a series of spawning channels and managed river sections on two Babine Lake tributaries (Pinkut and Fulton). As part of this review, we summarized production trends in BLDP production data and found that while loading densities for these systems have remained relatively constant over time, the overall productivity for the enhanced component of Skeena sockeye has decreased during the past 20 years.
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".