Accumulation of Hormonally Active Substances by Wild White Sucker (Catostomus commersoni) Exposed to Effluents Discharged to the Wabigoon River
Bibliographic record
Abstract
Abstract A study was initiated in the spring of 2001 to determine if hormonally active chemicals are bioavailable to white sucker (Catostomus commersoni) residing in the Wabigoon River, downstream of the bleached kraft pulp mill and municipal sewage outfall located in Dryden, Ontario. Females collected during spawning migrations in May 2001 at a near-field exposure site exhibited increased condition factor, liver size and fecundity relative to those collected from a reference site. Liver samples within each site were pooled, soxhlet extracted and fractionated by gel permeation chromatography and HPLC according to octanol/water partition coefficient (Kow). Fractions were then tested to determine if fish accumulated ligands which bind to the goldfish testicular androgen receptor (AR) and sex steroid binding protein (SSBP). The levels of hormonally active substances were low in males whereas females had accumulated significant amounts of several chemicals capable of binding to the hormone receptors. The levels of ligands detected in pulp mill effluent samples were substantially reduced after secondary treatment. Fractionation of final effluent extracts showed only ligands for the AR in the hydrophobic region (log Kow >5), which corresponded to the activities detected in fish tissues from both sexes. It can be concluded that ligands for fish sex steroid receptors are present in final effluent after treatment at the pulp mill and chemicals with the same Kow are bioavailable to fish under spring freshet conditions. Further work at this site is necessary to determine the contribution of pulp mill and municipal sewage effluents to the physiological performance of fish in the Wabigoon River and to their burden of accumulated 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 | 0.001 | 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".