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Record W7056353109

The effect of dietary thiaminase on two strains of lake trout (Salvelinus namaycush) currently stocked in Lake Ontario

2021· article· en· W7056353109 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2021
Typearticle
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsTroutThiamineAlewifeSalmoPopulationFish <Actinopterygii>ForagingThiamine deficiency
DOInot available

Abstract

fetched live from OpenAlex

Thiamine deficient lake trout had a lower SGR compared to thiamine replete individuals, as was evident in both strains (Figure 2).However, there was no difference in survival between treatments or strains. A reduced SGR may have significant implications for lake trout restoration efforts in Lake Ontario, since body size is associated with swimming performance, foraging efficiency, and predator avoidance, which is linked to fish survival (4, 8). Our results also suggest that thiamine deficient trout of the Seneca Lake strain have a higher SGR compared to thiamine deficient trout from the Lake Superior strain. Compared to Lake Superior, Seneca Lake contains a much more abundant population of alewife.Therefore, the Seneca Lake strain may have a local adaptation for thiaminase tolerance and would likely experience higher survival rates in the Lake Ontario environment where alewife comprise the majority of lake trout diets (9). Future research should explore the effects of dietary thiaminase on cardiac and muscular performance, since the neurological and cardiovascular systems of fish are known to be largely affected by a thiamine deficiency (6).

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.286
Teacher spread0.246 · 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 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
Published2021
Admission routes1
Has abstractyes

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