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Record W7070656869

Prioritizing contaminants of concern in the Fraser River watershed: a risk-based evaluation for outmigrating juveniles and returning adult salmon

2022· article· en· W7070656869 on OpenAlexaboutno aff

Bibliographic record

VenueWestern CEDAR (Western Washington University) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicResearch in Social Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsChinook windHabitatWater qualityWatershedContaminationEstuarySan JoaquinResource (disambiguation)Critical habitat
DOInot available

Abstract

fetched live from OpenAlex

The Fraser River watershed is home to 54 unique spawning populations of salmon, including 19 Chinook (Oncorhynchus tshawytscha) populations. Fraser Chinook provide 80-90% of the food source consumed by Southern Resident killer whales (SRKW, Orcinus orca) in the spring and summer. Over 90% (15/16) Fraser Chinook populations are at risk. Extensive forestry, agricultural, industrial and urban activities take place in the Fraser Valley that expose early life stages of emigrating salmon and returning adult salmon to a mix of legacy and emerging contaminants. Many of which, can elicit adverse health effects in vertebrates, including endocrine disruption and reproductive effects. However, there is limited information on the nature of contaminants discharged into British Columbia’s salmon habitat and their associated effects, hampering solution-oriented opportunities for natural resource managers and stakeholders. Surface water samples were collected monthly (2018-2020) from seven urban and semi urban sites in the Fraser River watershed, and one site in the Serpentine River, a lower discharge river that flows directly into SRKW critical habitat. Samples were analyzed for over 800 contaminants in order to prioritize contaminants of concern to outmigrating juveniles and retuning adult salmon, with a special focus on Chinook salmon. Measured chemical concentrations were compared to water quality guidelines for the protection of aquatic life and chemical-specific biological activities determined in high-throughput (ToxCast) in vitro assays. A risk-based evaluation using a combination of toxicity quotients and exposure activity ratios was performed to prioritize contaminants for long-term monitoring and to identify chemicals suspected of posing a potential risk to salmon. This study is the first step toward a comprehensive risk-based evaluation for contaminants of concern to salmon in the Fraser River. Results will support the Government of Canada’s Whales Initiative in its quest to identify contaminants of greatest concern to Chinook salmon and to guide SRKW recovery efforts.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.919
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
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 head0.056
GPT teacher head0.345
Teacher spread0.289 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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