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Record W2065588634 · doi:10.1139/a05-004

Contaminants in common eiders (<i>Somateria mollissima</i>) of the Canadian Arctic

2004· article· en· W2065588634 on OpenAlexvenueaboutno aff
Mark L. Mallory, Birgit M. Braune, Mark Wayland, H. Grant Gilchrist, D. Lynne Dickson

Bibliographic record

VenueEnvironmental Reviews · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsnot available
Fundersnot available
KeywordsEiderArcticWildlifeEcologyAnatidaeEnvironmental scienceLarusTrace metalPollutantFisheryBiology

Abstract

fetched live from OpenAlex

Contamination of the Arctic environment by persistent organic pollutants (POPs) and trace elements remains a key concern for local residents as well as wildlife and resource management organizations. The common eider (Somateria mollissima) is a large marine duck that forms an important component of the diet of many Arctic predators, including humans. Although various studies have been carried out to evaluate the role of a few contaminants thought to be of local concern, efforts to assess contaminant residues in eider tissues have not been comprehensive. In this review, we summarize the available information on POPs and trace elements in common eiders across the Canadian Arctic. With the exception of one adult bird collected near Qikiqtarjuaq, Nunavut, eiders had detectable but low concentrations of most POPs, in some cases markedly lower than European eiders, and in all cases far lower than POP levels found in sympatric marine birds. However, common eiders did have elevated concentrations of many trace elements, noticeably cadmium, selenium, and copper, but these were below levels associated with toxicological risk to marine birds. Although the collective evidence suggests that common eiders of the Canadian Arctic may carry elevated levels of some contaminants, there was no evidence that these levels posed a threat to wildlife health. Key words: common Eider, persistent organic pollutants, trace elements, Arctic Canada.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.011
GPT teacher head0.225
Teacher spread0.215 · 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; both teacher heads agree on what is shown here.

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

Citations56
Published2004
Admission routes2
Has abstractyes

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