A Shortened Adult Fathead Minnow Reproduction Test Developed for Investigation of Cause and Investigation of Solution Work Involving Pulp and Paper Mill Effluents
Bibliographic record
Abstract
Abstract The regulatory Environmental Effects Monitoring (EEM) program in Canada has found that pulp and paper mill effluents reduce the gonad size of wild fish. In such cases, there is a need for Investigation of Cause (IOC) and Investigation of Solution (IOS) studies to find the cause(s) for these responses as well as cost-effective mitigation strategies. IOC and IOS work requires the availability of practical (in terms of time and effluent volume needs) and biologically meaningful tests for assessing fish reproduction in the laboratory. One available fish reproduction test uses adult fathead minnow (Pimephales promelas) and involves a two- to three-week pre-exposure period and a three-week exposure to a test substance. Work was undertaken to determine if both the pre-exposure and effluent-exposure phases could be reduced, leading to a shorter test with a lower effluent volume requirement. For this purpose, effluent samples were taken from two thermomechanical (newsprint) pulp mills and used in tests with ≤7 days of pre-exposure and 5 to 6 days of effluent exposure. Egg production was monitored in each test, and in tests with effluents from one mill, other endpoints - such as gonad somatic indices and whole-body sex steroid levels, as well as vitellogenin activity in males - were measured. The shortened fish reproduction test in this study provided results similar to tests of longer duration, specifically in terms of egg production, and was able to distinguish between pulp and paper mill effluents of different potencies. The test was also found to be directly applicable for toxicity identification evaluation work as it was clearly able to distinguish between the solids and soluble fractions of a biotreated newsprint mill effluent. As such, the test is a promising tool for EEM-related IOC and IOS work.
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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | low |
| gpt | no category Domain: not available · Genre: Methods About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | high |
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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".