Mercury and other metals in muscle and ovaries of goldeye (<i>Hiodon alosoides</i>)
Bibliographic record
Abstract
Concentrations of 24 trace metals were assessed in gravid ovaries and in muscle of female juvenile and adult female goldeye (Hiodon alosoides), a fish with both low annual growth (16 g/year as adults) and a long life span (maximum longevity of 30 years). It was hypothesized that adult fish with these life-history characteristics would maintain stable concentrations of metals in their tissues with higher levels of essential elements compared with those that are potentially toxic. As hypothesized, the concentration of most metals in muscle of adult female goldeye was similar at all ages, suggesting that uptake and excretion of metals was equal. Mercury was a notable exception. Total Hg concentrations in muscle of adults increased throughout life from a mean of 206 ng/g wet weight at age 8 to 809 ng/g at age 28, or by 26.2 ng/g/year. Concentrations of Hg were low in ovaries (mean 21.1 ng/g wet wt) compared to the mean for muscle, only 7% of the concentration in muscle. This was the lowest percent of muscle concentration of all 24 metals. Concentrations of Al, Ba, La, V, and Mn were significantly greater in muscle of juveniles and in ovaries than in muscle of adults. Concentrations of 13 metals were higher in ovaries relative to muscle, seven were similar, and four were depleted. Silver was enriched by over 50-fold in ovaries. Overall, the present study suggests that low concentrations of some metals in muscle of adult female goldeye, relative to concentrations in female juveniles and ovaries, may be maintained in part by transfer of metals to the external environment in eggs at spawning.
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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".