<i>In-situ</i> bioremediation of diesel-contaminated soil in Canada's Arctic territory: a case study at the Whitehorse International Airport, Yukon Territory
Bibliographic record
Abstract
Abstract Effective remediation of petroleum-contaminated soils in the Arctic is becoming increasingly important as the magnitude of environmental risks becomes better defined. Unfortunately, some of the solutions implemented in southern Canada are too costly to use in the Arctic. However, effective remediation is still necessary. Consequently, traditional techniques are employed, such as excavation and landfarming, which are disruptive to the immediate soils, permafrost, and the surrounding habitat. These remedial methods, however, are becoming unacceptable to First Nations people in some Canadian Arctic communities. This paper describes preliminary results from an in-situ biodegradation study of petroleum-contaminated soils. This technique has the potential to provide an easily applied effective solution to the problem of devising a low cost and uncontroversial method of remediation. Based on bench-scale laboratory feasibility studies, it has been determined that the zone of contaminated soil at the Whitehorse Airport is suitable for in-situ bioremediation application.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".