Microchemical techniques to evaluate priority contaminant sources along the migration routes of Chinook (Oncorhynchus tshawytscha) and Coho Salmon (Oncorhynchus kisutch)
Bibliographic record
Abstract
During their marine life stage, Chinook (Oncorhynchus tshawytscha) and Coho Salmon (Oncorhynchus kisutch) from watersheds connected to the Salish Sea display two distinct migration phenotypes; Salish Sea resident and out-migrant. Knowledge of Chinook and Coho marine migrations has been limited to tagged individuals caught by anglers and researchers. It is unclear how fishing effort and angler compliance, as well as other factors influence the proposed migration pathways undertaken by different stocks. Amongst the migrant phenotype, these salmon may only move as far as the continental shelf just off the coast of Washington and Vancouver Island, or they may migrate offshore into the Gulf of Alaska. It is unknown how environmental and genetic factors cause some salmon to remain resident in the Salish Sea and others to out-migrate. These different migration pathways influence contaminant burden of these salmon and the degree to which they are exposed to local versus global sources. It is currently unknown which migration paths would lead to increased contaminant burdens as it has not been feasible to track the individual movement of salmon. Microchemical techniques, specifically trace element and stable isotope analyses, can be used to identify the marine migration life history of Chinook and Coho that return to their natal watersheds. Initial results on 2018 Coho samples indicate that otolith trace elements can be used to determine differences between marine regions with a 100% classification success rate. Roughly 30-40% of Coho from a few Southern BC river systems remained as residents within the Salish Sea, which is consistent with other models. Contaminants of concern, such as mercury (Hg) and polychlorinated biphenyls (PCBs) as well as dietary tracers (stable isotopes of C, N, S) are assessed in conjunction with marine migration information to determine differences in contamination between marine regions across the North Pacific.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 teacher head, 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".