Brook trout (Salvelinus fontinalis) population structure in northwestern Newfoundland inferred from putative QTL-linked and non-QTL-linked microsatellite loci
Bibliographic record
Abstract
I evaluated the relative importance of contemporary and historical factors on the spatial population genetic structure of brook trout ('Salvelinus fontinalis') within and around Gros Morne National Park, Newfoundland. I studied 13 populations of brook trout using five microsatellite loci thought to be linked to quantitative trait loci (QTL) for body size and/or upper thermal tolerance and four loci not known to be linked to such QTL. Putative historical landscape features and contemporary barriers explained most of the genetic variation observed in the study area. QTL-linked and non QTL-linked markers led to contrasting patterns of population structure but differences in levels of intra-population diversity, rather than selection, appeared sufficient to explain observed differences among markers. This study provides important insights on the evolution of nonequilibrium population structure in areas affected by landscape rearrangement and represents one of the first attempts to infer selection in natural populations using QTL information.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".