SPATIAL, TEMPORAL AND DENDROCHRONOLOGICAL COMPARISONS OF MERCURY IN ONTARIO DECIDUOUS TREES
Bibliographic record
Abstract
Mercury (Hg) research in Ontario has centered on aquatic environments since fish can be a significant source of methylmercury for humans. Interactions between terrestrial and aquatic environments in regards to the Hg cycle have received less attention. This study focuses on the role of trees as a source and/or sink of Hg to the environment and the ap-plicability of deciduous trees as biomonitors for Hg. Leaf, bark and wood core samples were taken from a variety of deciduous species including Acer spp. (sugar, silver and red maple), Quercus spp. (red oak), Populus spp. (eastern cottonwood), and Salix spp. (willow) mainly from the Dorset and Kingston, ON regions. Examination of seasonal variation of Hg concentrations ([Hg]) in leaves indicated that average autumn leaf Hg ranged from 17– 45 ng/g and differed significantly among species. Leaf [Hg] increased with the growing season and roughly corresponded to regional atmospheric [Hg]. Microspatial trends in leaf [Hg], such as position on a branch, may increase variability. Tree cores from contami-nated and reference sites in the Kingston area showed that although dendrochronological techniques are not appropriate for estimating historical atmospheric Hg, they are useful
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".