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Record W1755800609

The impacts of urban pollution on the immune system of spottail shiners (Notropis hudsonius) in the St. Lawrence River.

2010· article· en· W1755800609 on OpenAlexaboutno aff
Lucie Ménard, Régina Escarné, David J. Marcogliese, Daniel G. Cyr, Michel Fournier, François Gagné

Bibliographic record

VenueEspaceINRS (National Institute for Scientific Research (Canada)) · 2010
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAquaculture disease management and microbiota
Canadian institutionsnot available
Fundersnot available
KeywordsNotropisFecal coliformBiologyEcologyEffluentSewagePollutionWater qualityEnvironmental scienceFisheryEnvironmental engineeringFish <Actinopterygii>
DOInot available

Abstract

fetched live from OpenAlex

The impacts of municipal sewage on the immune status of feral fish species are poorly understood. The purpose of this study was to determine the condition and phagocytosis indices of wild spottail shiners (Notropis hudsonius) collected at upstream and downstream sites (spanning 150 km distance) from a populated urban area in the Saint-Law-rence River (Montréal, Québec, Canada). Shiners were collected, analyzed for fish weight/fork length, both resting and active phagocytosis activities in leukocytes. Samples of surface waters at the sampling site were also collected for fecal coliform counts. The results revealed that coliform levels followed a significant upstream-downstream correlation and fish collected at downstream sites had lower condition factor (g/cm). Resting and active phagocytosis activity was significantly positively correlated with fecal coliform levels suggesting that ambient bacterial levels stimulated phagocytosis activity. Normalization of both resting and active phagocytosis activity against fecal bacteria counts revealed an immunosuppressive effect in shiners collected downstream the city’s municipal wastewater outflow. In conclusion, the immune system of spottail shiners is affected by urban pollution and reflects the cumulative contribution of exposure to bacteria and urban effluent contaminants.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.279
Teacher spread0.257 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations10
Published2010
Admission routes1
Has abstractyes

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