Bioavailability of sediment-bound metals for <i>Vallisneria americana</i> Michx, a submerged aquatic plant, in the St. Lawrence River
Bibliographic record
Abstract
We have assessed the bioavailability of sediment-bound metals (Cd, Cr, Cu, Ni, Pb, and Zn) in the St. Lawrence River using a rooted aquatic plant, Vallisneria americana Michx, as the biomonitor species. The host sediments were subjected to a sequential leaching procedure to determine the partitioning of the metals present in the surficial oxic stratum; previously published equations were then used to estimate the free metal ion concentrations at the root-sediment interface. Suspected metal accumulation in foliage from point-source pollution of the water column obscured sediment-plant relationships at several sampling stations, but in general, plant metal concentrations could be predicted on the basis of sediment geochemistry (including sediment metal concentrations). Metal concentrations in Vallisneria tissues correlated more closely with estimates of bioavailable sediment-bound metal than with total metal concentrations in sediments, particularly for Cd, Pb, and Zn. Roots proved to be better bioindicator organs than shoots for monitoring sediment contamination. Overall, the results demonstrate that Vallisneria would be a useful biomonitor species of metal contamination in the St. Lawrence River.
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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) | 0.000 | 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".