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Record W2068158600 · doi:10.1080/02772240902902349

Cadmium bioaccumulation and metallothionein induction in the liver of the Antarctic teleost <i>Trematomus bernacchii</i> during an on-site short-term exposure to the metal via seawater

2010· article· en· W2068158600 on OpenAlexfundno aff
Silvia Illuminati, Cristina Truzzi, Anna Annibaldi, Beatrice Migliarini, Oliana Carnevali, Giuseppe Scarponi

Bibliographic record

VenueToxicological & Environmental Chemistry Reviews · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Toxicology and Ecotoxicology
Canadian institutionsnot available
FundersNational Research Council CanadaEuropean Commission
KeywordsMetallothioneinBioaccumulationCadmiumSeawaterGene expressionBiologyEnvironmental chemistryEcotoxicologyChemistryGeneMolecular biologyZoologyEcologyBiochemistry

Abstract

fetched live from OpenAlex

A short-term experiment (7 days) was carried out to study cadmium accumulation and metallothionein (MT) gene expression in the liver of the Antarctic teleost Trematomus bernacchii when exposed to 2.0 mg Cd L−1 seawater. Metal determinations were carried out by differential pulse anodic stripping voltammetry while MT gene expression was determined by the Real Time PCR Detection System. In controls, the Cd concentration and the MT gene expression remained practically constant during the experiment (8.8 ± 0.9 µg g−1 d.w. and 1.0 ± 0.2 mRNA a.u., respectively). In exposed organisms, while Cd increased almost linearly with time, up to 30 ± 2 µg g−1 d.w., i.e. by a factor of ∼3.5 in 7 days, MT gene expression, after a little delay, increased almost exponentially up to a value of 86 ± 25 mRNA a.u. after 7 days, by a factor of ∼90. These results confirm the potential usefulness utility of T. bernacchii as a bioindicator of environmental pollution in Antarctica.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

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 studies0.0000.000
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 head0.020
GPT teacher head0.245
Teacher spread0.225 · 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 designBench or experimental
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

Citations32
Published2010
Admission routes1
Has abstractyes

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