Investigating the suitability of northern mummichog (Fundulus heteroclitus macrolepidotus) for the assessment of cumulative and non-point source pollution in Prince Edward Island estuaries
Bibliographic record
Abstract
The overall objective of this study is to evaluate the use of the estuarine species, the northern mummichog (Fundulus heteroclitus macrolepidotus ) as a monitoring species for the detection of the cumulative impacts of agricultural land use in Prince Edward Island (PEI). The first study investigated the spatial and temporal variability of the somatic indices used to describe fish performance, specifically measures of energy use and storage, as indicated by liver and gonad sizes, and the overall condition of the fish. Three estuaries were sampled once in December 2006 and then on a weekly basis from May through July, with additional sampling periods in August and September 2007 to examine the temporal variability. Spatial variability was assessed by sampling populations at five spots along an estuary at a single time period. Results showed considerable variation both within and between sites over the reproductive season as well as between sites within an estuary. Repeated sampling is required to assess reproductive output in this species and densities of adults and young-of-the-year (YOY) may be the best indicator of environmental stress.
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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 | 0.001 |
| 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 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".