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Record W2019045359 · doi:10.5539/ijb.v2n1p155

Trace and Toxic Elements Accumulation in Food Chain Representatives at Livingston Island (Antarctica)

2010· article· en· W2019045359 on OpenAlexvenueno aff
Roumiana Metcheva, L. Yurukova, В. А. Безруков, Michaela Beltcheva, Yordan Yankov, Krastio Dimitrov

Bibliographic record

VenueInternational Journal of Biology · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsnot available
Fundersnot available
KeywordsEuphausiaKrillAntarctic krillCadmiumBiologyFeatherZoologyFood chainEcologyChemistry

Abstract

fetched live from OpenAlex

First data for concentrations and distribution of trace and toxic elements in tissues and organs of brown skua(Catharacta lonnbergi), Gentoo penguin (Pygoscelis papua), crabeater seal (Lobodon carcinophagus), notothenioid fish(Notothenia coriiceps) and in krill (Euphausia superba), collected on Livingston Island (South Shetlands), Antarcticaare presented. Lead, cadmium, copper, zinc, manganese and cobalt were studied in liver, kidney, bone, spleen, muscle,heart and feathers. Generally, higher concentrations of toxic elements were found in liver and kidneys than in otherinvestigated tissues. The same elements in krill and notothenioid fish were also determined. The obtained data could serve as a starting point for broader investigation of the possible changes in the ecosystem of Antarctic Peninsula underclimate and environmental changes.

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 score0.039
Threshold uncertainty score0.078

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 head0.029
GPT teacher head0.351
Teacher spread0.321 · 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

Citations34
Published2010
Admission routes1
Has abstractyes

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