Is ambient chitobiase activity a monitoring tool for impacts on secondary production in lotic systems?
Bibliographic record
Abstract
Chitobiase is one of two enzymes responsible for cleaving the chitin polymers that form arthropod exoskeletons and has been found to be predictive of secondary production for marine and freshwater zooplankton. Since chitobiase is released into water during molting by aquatic arthropods, it is possible that ambient chitobiase activity may be a useful proxy of secondary production in aquatic systems. In the present study, surface water samples from the upper Tennessee River basin, USA, were collected and analyzed for chitobiase to determine how enzyme levels vary with season, water depth, and proximity to sewage treatment outfalls. Additionally, chitobiase activity was correlated with three pharmaceutical compounds to assess if changes in chitobiase activity were associated with contaminants derived from sewage treatment plants. Chitobiase activity was significantly (p < 0.05) elevated in the fall relative to other seasons. Further, chitobiase activity displayed significant positive correlation (p < 0.05) between surface and subsurface samples and was negatively correlated (p < 0.05) with pharmaceutical concentrations in summer samples. These results indicate the potential for chitobiase as an assessment tool in estimating secondary production and as an ecotoxicological indictor.
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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 | 0.001 | 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".