Molecular tools reveal hierarchical structure and patterns of migration and gene flow in bull trout (Salvelinus Confluentus) populations of south-western Alberta
Bibliographic record
Abstract
Bull trout are a species of fish native to the coldwater mountain streams of Alberta. Because this species is of special conservation concern and displays finely dissected population structure, it is well suited as a model species to test the utility of versatile conservation genetics tools. One such tool, a genetic clustering method, was used to discern the hierarchical population structure of bull trout in the core of their range in South-West Alberta. The method also revealed patterns of gene flow by way of assignment tests. Populations defined by this method were then used as reference populations for mixed-migrant assignment tests, revealing that clustering method-defined populations may be more suitable for such tests rather than traditional approaches that define reference populations by sampling location. Combined with spatial data a posteriori, assignment tests had additional utility of discerning spatial scale of movement for juvenile and adult salmonids. This technique provided further evidence that assignment tests may be powerful indirect tools for evaluating migration, and that longrange inter-stream dispersal in juvenile salmonid fish may be more common than previously assumed.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".