Immunomodulation in Blue Mussels (Mytilus edulis) Exposed to a Pulp and Paper Mill Effluent in Eastern Canada
Bibliographic record
Abstract
Abstract Blue mussels (Mytilus edulis) were caged at three sites situated at increasing distance from the point of discharge of a pulp and paper mill effluent from July to October 1998. Two additional cages were deployed: one inside and one at the mouth of the adjacent industrialized Pictou Harbour. After 90 d exposure, we measured growth, survival, haemocyte counts (HC), phagocytic activity (PA), lysosome retention (LR) and bacterial clearance (BC). There was a small but significant difference in growth between cages. Mussels closest to the mill effluent grew the most while those at the mouth of the harbour grew the least. Mussels from three cages showed similar difficulty in clearing bacteria; the cage inside the harbour, the cage nearest to the pulp mill effluent and the cage furthest from the pulp mill, receiving a mixture of both pulp mill and harbour effluents. The mussels from those cages also showed the highest heavy metal burdens and conversely, the cage showing the most rapid clearance, outside both effluents, also showed the lowest heavy metal burden. Mussels caged in the pulp mill effluent showed lower PA and LR and higher mortality during the bacterial clearance test than other mussels. These results suggest that immunological biomarkers might be a useful and more sensitive adjunct to endpoints presently being measured from caged bivalves in environmental effects monitoring (EEM) programs, and assessments of aquatic environmental quality.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Observational | high |
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 | 0.002 | 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 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".