Sentinels in the bay: using farm fish to monitor for pathogens in the environment
Bibliographic record
Abstract
Farmed Atlantic salmon were used in British Columbia as sentinels to determine whether fallowing farms and previously infected channels would effectively eliminate infectious haematopoietic necrosis (IHN) virus from a region. The sentinel approach involved re-introducing salmon to a few strategically placed (sentinel) sites and subsequent monitoring for the presence of IHN virus over a specified period of time. Seven farmed Atlantic salmon sites with a history of infection were monitored for the presence of the virus for six months following a minimum fallow period of two months. After re-stocking, the virus was not detected in the sentinel fish, suggesting that the concentration of the virus in the area was not sufficient to cause disease in a species known to be highly susceptible to the virus. Specifically, transmission of the IHN virus from one year class to another may be prevented by fallowing sites between year classes. Similar models using farmed fish as sentinels may be useful for answering other environmental questions. Thus, fish farms themselves could act as monitors for the general health condition of a bay, inlet, strait, or other body of water in which the farms are situated.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".