REMEDIATION OF A FORMER DRY CLEANER SITE SUPPORTED BY A TIER 2 RISK ASSESSMENT
Bibliographic record
Abstract
The historical presence of dry cleaning operations at a shopping center in Spruce Grove, Alberta (the “Site”) had resulted in the release of perchloroethylene and its degradation products to the soil and groundwater both on and off the Site. Soil and groundwater quality data were compared and found to exceed applicable land use Tier 1 environmental quality guidelines for Alberta (CCME 2002). Several technical constraints prevented the impacted area from being remediated to the Tier 1 guidelines in a cost effective and timely manner. In order to understand the potential risks to human and environmental receptors at the shopping plaza a risk assessment was undertaken at the Site. The site-specific risk assessment concluded that there were no immediate risks to both on-Site and off-Site receptors. However, it was determined that the development of Tier 2 soil and groundwater quality guidelines in accordance with AENV 2001 would likely result in less stringent remediation guidelines, but still offer the same level of protection to both on and off-Site receptors. A conservative approach was undertaken such that the land use
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".