Genetic Diversity of Yellow Perch (Perca flavescens) in Lac La Biche
Bibliographic record
Abstract
The maintenance of genetic diversity is critical for a population’s ability to withstand, and persist natural or anthropogenic change. The Alberta government implemented the Lac La Biche Fishery Restoration Program in 2005. This program introduced several changes, including the control of the double-crested cormorant population, and the stocking of over 2 million walleye fry. Ecological disruptions at high trophic levels, such as those implemented with the restoration program at Lac La Biche have been shown to induce changes in genetic diversity of species at lower trophic levels. In this study, we developed a method of genomic DNA extraction from preserved yellow perch (Perca flavescens) stomachs to investigate genetic diversity in this species. Upon extraction, six nuclear microsatellite loci were examined by PCR, in 29 individuals collected in 2009 from Lac La Biche, Alberta. This study provided initial population genetic data on yellow perch from 2009, and a framework for a more exhaustive analysis of the spatial, and temporal population genetic structure of yellow perch in Lac La Biche from 2009 - 2013. Discipline: Biology Faculty Mentor: Dr. David McFadyen
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.007 |
| 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".