Parasites of spottail shiners (<i>Notropis hudsonius</i>) in the St. Lawrence River: effects of municipal effluents and habitat
Bibliographic record
Abstract
Parasite communities were examined from spottail shiners (Notropis hudsonius (Clinton, 1824)) collected from nine localities in the St. Lawrence River around the Island of Montréal and downstream from its municipal effluents in June and September 1998–2000. A total of 30 taxa were found, the most common being Diplostomum spp. Parasite communities were dominated by digeneans, most of which were larval stages that infect birds as definitive hosts. Mean abundance of the most common parasites varied among localities and years. Component community and mean infracommunity species richness fluctuated within and among years at the various localities. Similarity analyses demonstrated that parasite component communities from the different localities could be partitioned according to season, year, and water mass. Canonical correspondence analysis demonstrated that the parasite component communities from the different localities could be distinguished clearly, indicating that the fish in the different localities compose separate populations or stocks. Year, season, and water mass correlated most strongly among the species–environment relationships. The abundance and distribution of parasite species appeared to be subtly influenced by environmental contaminants and urban effluents, leading to slight reductions in parasite diversity. However, the parasite species composition at the various localities more clearly reflected the local food-web structure and biodiversity in terms of the distributions of various invertebrate groups, piscivorous fish, and waterfowl along the St. Lawrence River.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".