Interactions between parasites and pollutants in yellow perch (Perca flavescens) in the St. Lawrence River, Canada: implications for resistance and tolerance to parasites
Bibliographic record
Abstract
Parasites were examined in yellow perch, Perca flavescens (Mitchill, 1814), from four localities ranging in degree of pollution in the St. Lawrence River, Quebec, Canada, to examine the effects of the most prevalent parasite species on expression of biomarkers of oxidative stress. Various biomarkers appeared to be affected by the infection levels of Apophallus brevis Ransom, 1920 and genus Diplostomum von Nordmann, 1832. For certain biomarkers, interactions between infection level and pollution type were detected for A. brevis, Diplostomum spp., and genus Ichthyocotylurus Odening, 1969. Activity of glutathione reductase in gill tissue decreased with increasing numbers of A. brevis, but only at the two most polluted localities. Catalase activity in kidney increased with numbers of Diplostomum spp. at the polluted localities, but not at the two least contaminated sites. Results suggest that parasites may affect expression of biomarkers of pollution and that pathogenicity of parasites may be enhanced under polluted conditions. Exposure to contaminants appears to reduce tolerance, but not resistance, to parasites in yellow perch in this system. This type of immunosuppression may be widespread in polluted ecosystems.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".