Incubation of lake whitefish (<i>Coregonus clupeaformis</i>) embryos in cooling water discharge and the impacts of fluctuating thermal regimes on development
Bibliographic record
Abstract
Thermal discharges released from industrial cooling water systems represent a potential environmental risk to fish species that spawn in nearshore waters. We investigated the impacts of in situ incubation of lake whitefish (Coregonus clupeaformis) embryos in the vicinity of a nuclear generating station. Over 3 consecutive years, fertilized embryos were deployed in Lake Huron using custom-built incubation chambers coupled with data loggers to monitor water temperature. Temperatures at sites in the vicinity of the thermal discharge were significantly elevated compared with reference locations, with mean winter temperatures up to 3 °C warmer. Temperatures were also more variable at these sites, with a significantly greater daily temperature range and rate of change. Embryos developing at discharge sites were significantly larger with smaller yolks than those from the reference stations, suggesting an advanced growth. This increased growth was supported by thermal data, with discharge sites predicted to be more than 10% advanced based on growth rate modelling. These temperature changes and increase in development rate are below thresholds for embryonic mortality but could potentially impact posthatch larval survival.
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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".