The influence of heavy metals on the diet changes of Neoperla (Plecoptera) in the northwest Miramichi River, New Brunswick /
Bibliographic record
Abstract
In the summers 1997, 1998 and 1999, over 100 aquatic invertebrate kick samples were collected in the Northwest Miramichi River of northeastern New Brunswick to examine the effects of chronic heavy metal exposure on the aquatic predatory Plecoptera community. In the group of predators, Neoperla (Plecoptera) was numerically dominant and gut content identifications were used to determine food chain and life cycle stages. Neoperla diet analysis indicated the Chironomidae (Diptera) as the dominant prey with predation upon Trichoptera and Ephemeroptera influenced by the life cycle stage of the predator. Gut content totals were analysed for predatory diet changes due to heavy metal contamination exposure. The Neoperla community indicated a prey shift from a Chironomidae based diet to one including a higher percentage of Ephemeroptera and Trichoptera earlier in the predators life history when compared with upstream control sites. Neoperla diets maintained their shift from the control station diets as the downstream movement of heavy metal contaminated water mixed and dissipated within the study area.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".