Application of a Pair-Breeding Fathead Minnow (Pimephales promelas) Adult Reproduction Bioassay to a Pulp Mill Effluent
Bibliographic record
Abstract
Abstract A short-term reproductive bioassay was applied to observe performance of pair-breeding fathead minnow (Pimephales promelas) before and after exposure to treated pulp and paper mill effluent. Reproductive performance was assessed for 21 days under controlled laboratory conditions to obtain baseline data of endpoints including cumulative egg production, number of spawning events, hatching success, and occurrence of deformed larvae. Breeding pairs were then exposed to 50 and 100% concentrations of secondary treated effluent for an additional 21 days. A significant reduction in egg production after exposure to both 100 and 50% pulp mill effluent was observed. This was accompanied by an increased appearance of pathological lesions (eosinophilic material) in male gonads as well as increased gonad size (gonadosomatic index). Reduced hatching success and appearance of larval deformities were also observed after exposure to both 50 and 100% pulp mill effluent. The pattern of responses observed may indicate that the reduced reproductive output was due to exposure to endocrine disrupting compounds within the effluent. By using the short-term fathead minnow bioassay, we were able to identify a response pattern to pulp mill effluent that is indicative of exposure to estrogenic and/or androgenic compounds.
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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 | 0.000 |
| 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) | 0.001 | 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".