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Record W2079815853 · doi:10.1002/wsb.158

Effects of elevated selenium on body condition, oxidative stress, and organ health in greater scaup wintering at Lake Ontario

2012· article· en· W2079815853 on OpenAlexafffundabout
Lindsay L. Ware, Scott A. Petrie, Robert C. Bailey, Shannon S. Badzinski, Michael L. Schummer, Yuwei Chen, Nelson Belzile

Bibliographic record

VenueWildlife Society Bulletin · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsLaurentian UniversityCape Breton UniversityBirds CanadaWestern University
FundersOntario Federation of Anglers and HuntersBird Studies Canada
KeywordsAythyaOxidative stressSeleniumBiologyAnimal scienceWildlifeOxidative phosphorylationEcologyInternal medicineEndocrinologyChemistryWaterfowlMedicineBiochemistry

Abstract

fetched live from OpenAlex

Abstract Elevated selenium (Se) concentrations have been detected in tissues of greater ( Aythya marila ) and lesser ( A. affinis ) scaup and it has been hypothesized that these Se concentrations may be affecting scaup health and reducing survival and, thus, negatively affecting scaup populations in North America. We evaluated the influence of hepatic Se concentrations on lipid and protein reserves, organ masses, tissue health, and oxidative stress of greater scaup wintering at western Lake Ontario during December–March, 2006–2007. Although we detected Se at elevated levels, all greater scaup with physical abnormalities (13 of 73 birds) had Se concentrations below the acute health problem threshold established for mallards (33 µg/g). Neither organ masses, protein reserves, nor measures of oxidative stress were influenced by hepatic Se concentrations, whereas lipid reserves varied positively with hepatic Se concentrations. Results suggest that hepatic Se concentrations at levels recorded in our study do not affect body condition or physical health of greater scaup. © 2012 The Wildlife Society.

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)0.000
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 score0.501
Threshold uncertainty score0.992

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.009
GPT teacher head0.234
Teacher spread0.226 · 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

Citations6
Published2012
Admission routes3
Has abstractyes

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