Atlantic Geology 177 Mercury in till and bedrock southeast of
Bibliographic record
Abstract
Loons in Kejimkujik National Park, located in southwestern Nova Scotia, contain the highest mercury concentra-tions in blood of any breeding loon population tested in North America. A team of multi-disciplinary scientists has completed extensive research within and around the park in an attempt to identify the source(s) and process(es) that may be responsible for the high levels of mercury. One aspect of the research involved the collection of 32 C-horizon till samples from depths ranging from 70 to 120 cm. The samples were collected at 100 to 200 m intervals from three northwest-southeast transects that cross the inferred contact between the Halifax and Goldenville formations south of the Kejimkujik National Park boundary. Geochemical analysis (<63 µm size fraction) of the till indicates that the mean Hg concentrations are 40.8 ppb for till overlying slate of the Halifax Formation, and 32.4 ppb for till overlying greywacke of the Goldenville Formation. Chemical analyses of 9 bedrock samples (<105 µm size fraction) returned very low Hg concentrations (mean 2.4 ppb). Strict quality assurance/quality control protocols were followed in the collection, preparation, and analysis of the till and bedrock samples. RÉSUMÉ Les huards du parc national Kejimkujik, situé dans le Sud de la Nouvelle-Écosse, présentent les concentrations de mercure dans le sang les plus élevées parmi toutes les populations de huards examinées en Amérique du Nord. Une
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 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".