The site of an experimental oil spill located at a freshwater wetland along the St. Lawrence River re-visited after 21 years
Bibliographic record
Abstract
In 1999 a wetland close to Ste. Croix de Lotibiniere (Quebec, Eastern Canada) and located along the St. Lawrence River was the site of a simulated oil spill. Test plots were set up, contaminated with crude oil and subsequently used to test natural attenuation, nutrient amendment or vegetation cropping as remediation treatments. In 2020, this study revisited the former test plots to investigate any lingering effects of the original Ste. Croix study. Test plot sediments and control sediments featured detectable quantities (75 - 165 g/kg) of mid-chain n-alkanes (C10-C36), but no other kinds of hydrocarbons. Differences in hydrocarbon, total organic carbon, nitrogen and phosphorous content were not significantly different between test plot sediments and control sediments. A microbial analysis did not detect significant differences in microbial load, microbial diversity or microbial community composition between test plot sediments and control sediments. Key genes for the aerobic and anaerobic degradation of n-alkanes as well as for the aerobic degradation of polycyclic aromatic hydrocarbons were detected in all sediment samples. Abundances of these genes did not differ significantly between formerly oil-contaminated sediments and control sediments. This study shows that after 21 years, previously oil-contaminated sediments of the Ste. Croix wetland can be considered completely remediated irrespective of the performed remediation treatment. In this file archive are included, metadata, metagenome co-assembly, functional and taxonomic annotations, contigs and genes abundance matrices and MAGs files. Raw Illumina sequence data was deposited in the NCBI SRA portal under accession PRJNA818909.
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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 | 0.001 |
| 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) | 0.002 | 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".