Monitoring recovery of a crude oil- contaminated saltmarsh following in-situ remediation treatments
Bibliographic record
Abstract
Wetlands are among the most sensitive of habitats to oil spills. To determine the significance of nutrient enrichment in enhancing wetland restoration in the presence and absence of plants, an intentional spill was conducted on a salt marsh in Atlantic Canada. The study evaluated 6 experimental treatments: unoiled, unoiled with nutrients (nitrate and phosphate fertilizer), natural attenuation, nutrient addition with intact plants, nutrient addition with plants cut back, and nutient addition with intact plants and tilling to enrich oxygen penetration. Remediation success was quantified by determining the rates of oil loss, plant recovery and reduction in sediment and interstitial water toxicity. Based on the experimental results, on an operational scale, natural attenuation is the recommended clean-up strategy for the ecotype under study. Significant plant recovery was observed after 20 weeks and approximately 90°/0 of the resolved nalkanes and 70°A of the parent and alkyl-substituted polyaromatic hydrocarbons (PAH) were biodegraded.
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 | 0.000 | 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 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".