Life Inside the Tank: The Impact of Vateritic Otoliths on Hatchery-Reared Coho Salmon
Bibliographic record
Abstract
... Pacific salmon Oncorhynchus spp. are keystone species essential to the health of ecosystems and serve as a vital link between the marine and freshwater environments of the northeastern Pacific. From the rivers where they spawn to the vast Pacific Ocean where they mature, these salmon support a rich diversity of life, including whales, bears, fish, seabirds, marine invertebrates, and riparian plants. Beyond their ecological importance, Pacific salmon have profoundly shaped the identities and ways of life of Indigenous communities in the region since time immemorial. They are central to cultural traditions, fishing technologies, and spiritual beliefs. Economically, Pacific salmon are invaluable, generating substantial revenue through commercial and recreational fishing, and sustaining many coastal communities that rely on the fishing industry. Concerningly, many natural populations of Pacific salmon have experienced widespread declines over the past few decades, attributed to various anthropogenic factors, such as habitat degradation, climate change, and overfishing. To mitigate population declines while sustaining salmon fisheries throughout the northeastern Pacific, Fisheries and Oceans Canada initiated the Salmonid Enhancement Program (SEP) in the 1970s, leading to large‐scale hatchery rearing of juvenile Pacific salmon. Initially, hatcheries were considered effective because the egg‐to‐smolt survival rate in hatcheries was significantly higher than that in the wild. Unfortunately, once released into the wild, hatchery‐reared juvenile Pacific salmon survive at generally lower rates compared to their wild‐origin counterparts, proving hatcheries to be much less effective than initially hoped.
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.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".