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Record W7070279684

A preliminary ranking of contaminants of concern in juvenile Harrison Chinook and their habitat in the Fraser River, British Columbia.

2022· article· en· W7070279684 on OpenAlexaboutno aff

Bibliographic record

VenueWestern CEDAR (Western Washington University) · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsnot available
Fundersnot available
KeywordsChinook windHabitatEstuaryJuvenileDrainage basinRecreationMicroplasticsStock (firearms)Streamflow
DOInot available

Abstract

fetched live from OpenAlex

The Fraser River (British Columbia) was once considered one of the world’s most productive salmon rivers. This river is home to 19 Chinook populations which represent an important species not only to First Nations, recreational anglers and commercial fisheries but also to Southern resident killer whales. The Harrison River Chinook stock, which numerically dominate the lower Fraser River stocks, spend 30-50 days in the Fraser River estuary, where they feed and grow prior to entering the marine environment. This stock was selected as a focal stock due to its spawning location origin in the lower Fraser River, and because ocean type Chinook are believed to rely most heavily on estuarine habitat compared to “stream type” Chinook. The lower Fraser River and estuary is heavily impacted by many anthropogenic activities including forestry, mining, pulp and paper, wood preservation, chemical manufacturing, urban and agricultural runoff and wastewater (sewage) treatment. Despite a history of pollution inputs into the lower Fraser River and estuary, little is known about contaminant exposure and their associated health impacts in Chinook salmon. A preliminary ranking of over 600 contaminants of concern, including various pesticides, PCBs, PBDEs, flame retardants, pharmaceuticals and personal care products, and metals in Harrison juvenile Chinook and their habitat (water and sediment) was conducted. Samples were collected from three impacted sites within the estuary and two reference sites. A combination of exposure activity ratios, risk quotients, and toxicity quotients were applied across the different matrices. This initial ranking of contaminants will serve to identify those contaminants suspected of driving observed health effects in the real world that will be further explored in a field health effects study. Results from this research will be used to inform Chinook conservation, recovery, and management efforts, especially as they relate to Fraser River Chinook and Southern Resident killer whales.

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 score0.262
Threshold uncertainty score0.527

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.199
Teacher spread0.188 · 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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