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Record W171462006

Changes in Lake Trout Population Dynamics Due to the Impact of Introduced Desirable Non-Native Salmonids.

2011· article· en· W171462006 on OpenAlexaboutno aff
Mike Dilloway

Bibliographic record

VenueScholarWorks - GVSU (Grand Valley State University) · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTroutFisheryPopulationRainbow troutEnvironmental scienceSalmonidaeFish <Actinopterygii>BiologyGeographyDemography
DOInot available

Abstract

fetched live from OpenAlex

In the Great Lakes; population dynamics are changing due to introduction of desirable non-native salmonids such as rainbow trout, chinook and coho salmon. Length/age relationship data from the Ontario Ministry of Fisheries, Little River Band of Ottawa Indians and MDNRE, were analyzed to explore changes in lake trout population structure. Indicators of these changes include, slower growth rates, smaller age classes and lower individual frequency than water bodies where desirable non-native salmonids do not exist. A control lake was identified to explore lake trout populations that do not have to compete with desirable non-native salmonids. Cross examination of Lake Nipigon, the control lake, with trout populations from Lake Michigan and Lake Superior can provide better understanding of the impact non-native species introduction has had Great Lakes lake trout population structure.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.214
Teacher spread0.199 · 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 source (direct Gemma or distilled Codex), 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
Published2011
Admission routes1
Has abstractyes

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