Distribution of mercury in soils at a decommissioned gas plant
Bibliographic record
Abstract
The range and distribution of mercury in soils at a decommissioned gas plant near Turner Valley, Alberta were investigated in order to facilitate risk assessment and the remediation and development of the site into a tourism area. Although high levels of Hg were thought to be present in some areas on the site, it was unclear whether the source of the Hg was industrial processes or from river deposition of HgS impurities after erosion of upstream sulfide deposits. Background Hg concentrations in undisturbed soils and surficial bedrock near the gas plant were also unknown. Mercury concentrations in surface soil material on the gas plant site were found to range up to 230 mg Hg kg−1 soil, with the highest concentrations found next to process building doorways. Investigation of Hg distribution with soil depth showed that levels were generally highest at the surface, dropping rapidly with depth to near background levels of 0.07 mg Hg kg−1 soil or lower. The highest Hg concentrations were associated with the clay fraction, which contained up to 2300 mg Hg kg−1 soil. The results are consistent with an anthropogenic source from spillage of elemental Hg contained in manometers and pressure monitoring devices used in plant buildings. Mercury concentrations at depth and in uncontaminated surface soils were similar to those reported by Dudas and Pawluk (1976) for surface soils formed in glacial and fluvial deposits elsewhere in Alberta. Key words: Mercury, contamination, soils, Turner Valley
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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 | 0.001 | 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".