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Record W2118686540 · doi:10.1006/jmsc.2000.1022

Sentinels in the bay: using farm fish to monitor for pathogens in the environment

2001· article· en· W2118686540 on OpenAlexaff
Sophie St‐Hilaire

Bibliographic record

VenueICES Journal of Marine Science · 2001
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Vectors
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBayFish <Actinopterygii>FisheryEnvironmental scienceGeographyBiologyArchaeology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.119

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.042
GPT teacher head0.329
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2001
Admission routes1
Has abstractyes

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