Using microsatellite and mitochondrial DNA variation to investigate population structure of Walleye (Sander vitreus) in Lake Winnipeg
Bibliographic record
Abstract
walleye (sander vilreus) are the main contributors to Manitoba,s multi-million dolJar commercial fishery' waìleye are known to be philopatric in some systerns, providing potentiar for murtipre geneticaty discrete spawning groups within a system.This study used ten microsatellite loci and one RFLP assay (fì'om the mitochondrial control region) to investigate the degree of genetic differentiation among I3 spawning sites in Lake winnipeg' and compared these to walleye collected from tw' hatchery locations and other locations in Manitoba and ontario, as well as to sauger (sauger canadensis).Littre popuÌation structure was found within Lake v/innipeg, and slight to ¡noderate geretic differentiation was found between Lake winnipeg waìleye and othe' sampling locations.Great genetic differentiation was found between walleye and sauger.The lack of genetic differentiation found in Lake winnipeg possibly indicates a ìack of natal philopatry, some phiìopatry but with sufficient straying to obscure genetic structure, or obscured structure as a result of hatchery stocking.Acknowledgentenls
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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 | 0.001 | 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 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".