Calcium hypochlorite removal of mercury and petroleum hydrocarbons from co-contaminated soils
Bibliographic record
Abstract
Former oil and gas processing sites are often contaminated with both mercury and petroleum hydrocarbons. Traditional methods for treating these co-contaminated soils include thermal treatments and placement in landfills (Stepan et al. 1993). This study examines a chemical oxidation treatment, calcium hypochlorite, and its effectiveness in reducing both the petroleum and mercury content of several industrial soils. A sequential extraction method was used to determine the forms of mercury removed through the hypochlorite treatment. The forms included five organic forms of mercury, mercury associated with the mineral phase, ion exchangeable mercury, water phase mercury, and mercury associated with the petroleum hydrocarbons. The hypochlorite treatment did lower the mercury content of all five soils, but failed to remove the petroleum hydrocarbons from the soils. Prior to the hypochlorite treatment the dominant form of mercury was that associated with soil organic matter while after treatment most of the mercury remaining in the soil was associated with either the petroleum hydrocarbons or the mineral phase.
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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".