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Record W2792591060 · doi:10.1139/cjfas-2017-0491

Infections, fisheries capture, temperature, and host responses: multistressor influences on survival and behaviour of adult Chinook salmon

2018· article· en· W2792591060 on OpenAlexaffvenue
Amy K. Teffer, Arthur L. Bass, Kristina M. Miller, David A. Patterson, Francis Juanes, Scott G. Hinch

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsFisheries and Oceans CanadaSimon Fraser UniversityUniversity of VictoriaUniversity of British Columbia
Fundersnot available
KeywordsChinook windOncorhynchusLongevityBiologyStressorFisheryAquatic animalFish <Actinopterygii>EcologyZoology

Abstract

fetched live from OpenAlex

Infectious disease dynamics of wild Pacific salmon are poorly understood and may play a prominent role in recent declines of Chinook salmon (Oncorhynchus tshawytscha) populations. Multiple stressors influence migration success of adult salmon, such as rising river temperatures and capture and release by fisheries, and likely modulate infection development. To understand how these factors impact survival and migration behaviour of adult salmon in fresh water, we conducted simultaneous holding and telemetry studies with gillnet treatments and nonlethal biopsy. Laboratory fish were held and treated in either cool (9 °C) or warm (14 °C) water. High temperature reduced survival but did not amplify simulated gillnetting effects. Gillnetting reduced migration rate and distance traveled upriver and increased infection burdens, but had no effect on longevity. Heavy infections were associated with reduced longevity and faster migrations. Blood properties and immunity were associated with stressors, survival, and infections. These results improve our predictive capability regarding how stressors can reduce migration success and longevity of Pacific salmon, demonstrating multiple impacts of infections and adding to growing knowledge of disease dynamics in wild fish populations.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.226
Teacher spread0.214 · 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 source (direct Gemma or distilled Codex), 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

Citations51
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Fisheries and Aquatic Sciences→Same topicFish Ecology and Management Studies→French-language works237,207→