Effects of enhanced monitored natural recovery of conventional heavy crude on biofilm and phytoplankton at the IISD-Experimental Lakes Area, Northwestern Ontario
Bibliographic record
Abstract
The Freshwater Oil Spill Remediation Study (FOReST) evaluated the effectiveness and environmental impact of enhanced monitored natural recovery following simulated spills of conventional heavy crude oil into shoreline enclosures (5 x 10m) of a boreal lake. Six enclosures, equally divided into treatment and reference groups, were used in this study. Remediation included the flushing of trapped conventional heavy oil and recovery with sorbent pads, and a secondary remediation method referred to as enhanced monitored recovery (eMNR), which includes the addition of nutrients to stimulate microbial and algal oil-degrading activity. Effects were then studied on phytoplankton, biofilm growth and community dynamics over 400 days. Chlorophyll a concentration, ash-free dry mass (AFDM) and algal taxonomy were not significantly different between the treatment and reference enclosures. Therefore, we concluded that the eMNR secondary remediation treatment did not affect the phytoplankton and biofilm community but continued monitoring for eutrophication should be conducted to reduce the risk of environmental degradation.
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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 | 0.001 | 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".