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Record W7104042770 · doi:10.5061/dryad.8w9ghx3xz

Body condition and diet data for gamefish in 15 hardwater lakes of southern Saskatchewan, Canada

2025· dataset· en· W7104042770 on OpenAlexaffabout

Bibliographic record

VenueDRYAD · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversity of ReginaMemorial University of Newfoundland
Fundersnot available
KeywordsPerchPercidaeStizostedionPikePiscivoreZebra musselThreatened speciesForage fishFish <Actinopterygii>

Abstract

fetched live from OpenAlex

Mitigating threats of aquatic invasive species in lakes requires holistic insights into the biological, physical, and chemical conditions sustaining fish communities. This study establishes the ecological baseline conditions for three key gamefishes—walleye, northern pike, and yellow perch—across 15 hardwater prairie lakes in south-central Saskatchewan, Canada, that are threatened by zebra mussel invasion. We employed stomach content analysis to evaluate diet composition and ontogenetic nutritional shifts in adult fishes and assessed how fish size and environmental factors influence body condition. Adult walleye transition from a diet of amphipods to fishes as they grow, demonstrating greater dietary flexibility compared to perch and pike, which maintain a stable diet of chironomids and fish, respectively. While walleye and pike decline in body condition with size, perch maintain a consistently high body condition as they grow. Lake productivity and alkalinity are important predictors of body conditions of adult walleye and perch in hardwater prairie lakes. Given the combined threats of zebra mussel invasions, climate change, and potential local forage fish scarcity, novel management strategies are essential.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.217
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.267
Teacher spread0.252 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2025
Admission routes2
Has abstractyes

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