Charactering priority pollutants in juvenile chinook salmon in the Fraser River Estuary Watershed
Bibliographic record
Abstract
The Fraser River watershed, British Columbia provides habitat for Chinook salmon (Oncorhynchus tshawytscha), which delivers food for First Nations, recreational anglers, commercial fisheries and endangered Southern Resident killer whales (SRKW, Orcinus orca). Extensive forestry, agricultural, industrial and urban activities take place in the Fraser Valley exposing early life history stages of Chinook to a mix of legacy and emerging contaminants, including polychlorinated biphenyls (PCBs), pesticides and pharmaceuticals and personal care products (PPCPs). Many of these contaminants can elicit adverse health effects in vertebrates, including endocrine disruption and reproductive effects. However, there exists limited information on the nature of contaminants discharged into salmon habitat in British Columbia, hampering solution-oriented opportunities for natural resource managers and stakeholders. The present study characterizes priority pollutants in juvenile chinook salmon, water, and sediments throughout the Fraser Estuary. Samples were collected in the proximity of two large wastewater treatment plants. A number of analytes detected in fish tissue, sediment, and effluent, were not detected in estuarine waters, suggesting bioaccumulation of these compounds. This study is the first step toward a comprehensive risk-based evaluation of contaminants of concern to wild juvenile chinook in the Fraser Estuary. Results will support the Government of Canada’s Whales Initiative in its quest to identify those contaminants of greatest concern to the primary prey of SRKW and to guide recovery efforts.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".