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VARIABILITY IN THE BLUBBER FATTY ACID COMPOSITION OF RINGED SEALS (<i>PHOCA HISPIDA</i>) ACROSS THE CANADIAN ARCTIC

2007· article· en· W2047193399 on OpenAlexaffabout
Gregory W. Thiemann, Sara J. Iverson, Ian Stirling

Bibliographic record

VenueMarine Mammal Science · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPhocaBlubberBayArcticMarine mammalJuvenileSea iceBeaufort seaGeographyOceanographyFisheryBiologyEcologyGeology

Abstract

fetched live from OpenAlex

Abstract We determined the blubber fatty acid (FA) composition of 281 ringed seals (Phoca hispida) across the Canadian Arctic to make inferences about spatial, temporal, and demographic patterns of foraging. Seals were sampled in nine locations between 1992 and 2004. Regional differences in FA signatures were related to the distance between groups, with the greatest similarity occurring among seals sampled in three locations within the Beaufort Sea‐Amundsen Gulf. Seals in the western and southeastern portions of Hudson Bay also had similar FA signatures. Discriminant analysis on seventeen FAs classified ringed seals to their correct geographic region with 95% accuracy. Although location accounted for most of the variability in FA signatures, adult and juvenile ringed seals in Frobisher Bay‐Labrador Sea and Jones Sound showed significant FA differences, as did male and female ringed seals in Jones Sound and Qaanaaq. Demographic differences were not detected among ringed seals in the Beaufort Sea‐Amundsen Gulf or in western Hudson Bay. Seals off the coast of Labrador showed significant seasonal variability in FA signatures. Overall, seasonal, regional, and demographic patterns in FA signatures were consistent with differences in ringed seal diets, as inferred from stomach content and stable isotope analyses.

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 score0.317
Threshold uncertainty score0.638

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.014
GPT teacher head0.258
Teacher spread0.244 · 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

Citations83
Published2007
Admission routes2
Has abstractyes

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