Parasite effects on the survival, growth, and reproductive potential of yellow perch (<i>Perca flavescens</i> Mitchill) in Canadian Shield lakes
Bibliographic record
Abstract
Three parasites of yellow perch, Perca flavescens, in four Canadian Shield lakes were studied for their effects on perch growth and mortality. Glugea sp. xenomas in cells of the intestinal wall and in visceral fat and Apophallus brevis metacercariae infecting the musculature reduced the growth of perch, causing mortality in younger and smaller fish. High numbers of Raphidascaris acus encysted in the liver of yellow perch correlated significantly with a reduction in visceral-fat mass in age 1+ females and age 0+ and 1+ males. A significant correlation in these subsamples indicates that host sex, size, trophic status, and relative mass of the liver are linked to R. acus density. Our data suggest that interactions among parasitic infections and age, size, and sex of the fish host can affect growth and survival of the host, especially during periods of low energy inputs and reproductive stress.
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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".