Evaluation of the Multispecies Freshwater Biomonitor to Determine Behavioural Effects of Tributyltin and Atrazine on Daphnia Magna and Hyalella Azteca
Bibliographic record
Abstract
The Multispecies Freshwater Biomonitor (MFB) has been identified as a system able to continuously monitor water quality through detection of changes in the movements of biota which may be caused by external stressors. In this study, behavioural changes of Daphnia magna and Hyalella azteca when exposed to tributyltin and atrazine were detected using the MFB. The applicability of the MFB to be used as a monitor of drinking water quality and the usefulness of the organisms in this automated system was determined. Neither contaminant brought about behavioural changes in either organism that were detectable by the MFB. While extensive literature indicated that this system was useful for field applications, this study concluded that the MFB is not yet able to detect contaminants entering a water system using the above test species. Future research is required to examine other species' ability to detect aquatic contaminants and the ability of the MFB to detect such responses.
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 | 0.000 | 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".