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Record W2955989924

Genetic Diversity of Yellow Perch (Perca flavescens) in Lac La Biche

2017· article· en· W2955989924 on OpenAlexaffabout

Bibliographic record

VenueStudent Research Proceedings · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsMacEwan University
Fundersnot available
KeywordsPerchGenetic diversityBiologyPopulationTrophic levelEcologyFisheryCormorantMicrosatelliteStockingZoologyFish <Actinopterygii>PredationGenetics
DOInot available

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.867

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.007
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.080
GPT teacher head0.379
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes2
Has abstractyes

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