Assessment of Anaerobic Bioremediation Potential in Hydrocarbon Contaminated Aquifers in Alberta, Canada
Bibliographic record
Abstract
Anaerobic biodegradation of hydrocarbon fuels (mono-aromatic and short chain alkane hydrocarbon) was demonstrated under both field and microcosm experiments, with detection of signature metabolites, fumarate addition genes, and microbial community composition to determine the potential of hydrocarbon-contaminated sites for bioremediation and assess the evidence of its past and/or present occurrence. It was determined here that the potential for bioremediation is unique to both the contaminated sites, but also to the hydrocarbon load present. Quantification of the fumarate addition genes using a newly-designed mixture of primers was done. These qPCR assays for assA and bssA abundances concluded that an upper limit to gene abundance is present according to hydrocarbon concentrations, of approximately 5 ppm hydrocarbon. Monitoring hydrocarbon loss from groundwater collected at these sites, paired with fumarate addition gene abundances concluded that the contaminated sites in question have the potential for bioremediation, but is limited with higher hydrocarbon concentrations.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".