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Record W266738528 · doi:10.2166/wqrj.2007.023

Immunomodulation in Blue Mussels (Mytilus edulis and Mytilus trossulus) Exposed to Municipal Effluent in Eastern Canada

2007· article· en· W266738528 on OpenAlexaffabout
Camille Coray, Sylvie D. St.-Jean, Shannon Mala Bard

Bibliographic record

VenueWater Quality Research Journal · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsEnvironment and Climate Change CanadaDalhousie University
Fundersnot available
KeywordsMytilusHarbourFisheryNova scotiaPollutionBiologyMarine pollutionEnvironmental scienceEcologyOceanographyGeology

Abstract

fetched live from OpenAlex

Abstract The effects on the immune response of the mussels Mytilus edulis and Mytilus trossulus from of life-time exposure to marine pollution found in an industrial shipping port with a military history (Halifax Harbour, Nova Scotia, Canada) were investigated. Parameters measured included phagocytic activity, cellular production of hydrogen peroxide, number of circulating haemocytes, and cellular viability. Mussels sampled within Halifax Harbour had significantly reduced phagocytic activity and significantly reduced production of hydrogen peroxide in comparison with mussels sampled from a reference site outside of Halifax Harbour, indicating that pollution induced immunomodulation. No significant differences were found in number of circulating haemocytes or in cellular viability between mussels sampled within Halifax Harbour and mussels sampled outside Halifax Harbour. Results are discussed in terms of using a multi-assay approach for monitoring environmental pollution.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.698
Threshold uncertainty score0.601

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 head0.057
GPT teacher head0.341
Teacher spread0.284 · 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

Citations17
Published2007
Admission routes2
Has abstractyes

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