Characterizing Juvenile Chinook Salmon Residency and Early Growth in the Lower Fraser River Estuary
Bibliographic record
Abstract
The Harrison River is a tributary of the lower Fraser River system which produces the highest proportion of fall-run, subyearling migrant Chinook salmon (Oncorhynchus tshawytscha) in the Salish Sea (Fraser et al. 1982;Murray and Rosenau 1989).Subyearling migrant Chinook, which emigrate to estuarine and marine waters within the first year, may be more dependent on nearshore habitats than yearling migrants during their first year of ocean residency (Weitkamp et al. 2014).Some cohorts emigrate as early as first emergence from their eggs as fry in March, while others arrive in the estuary well into their first year, in June and July (Levings et al. 1986;Healey 1991).Previous studies have inferred salmon stock composition based on catch timing, fork length and known life history strategies (Levy and Northcote 1982).Current technology allows us to precisely identify stock groups using tissue samples and genetic analysis (Beacham et al. 2011).Otolith studies can give a detailed picture of the life history of individual fishes, including quantitative measures of residency in different water bodies (Miller et al. 2010;Volk et al. 2010).Using a combination of genetic and otolith analyses, we assessed the stock-specific utilization of three habitat types in the lower Fraser estuary by emigrating Chinook.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".