Inhibition of Methanogenesis through Redox Processes in Oil Sands Tailings
Bibliographic record
Abstract
Abstract Bitumen extraction from oil sands ore in Alberta, Canada, has generated > 1.3 billion m3 of tailings that a slurry of fine silt and clay, residual bitumen and diluent hydrocarbons, deposited in ponds. Key environmental issues associated with oil sands tailings include biogenic greenhouse gas emissions (methane and carbon dioxide), water toxicity and its potential seepage, water reuse and solid consolidation. Methane produced during anaerobic microbial metabolism of hydrocarbons is emitted from tailings ponds and end-pit lakes where tailings are reclaimed. This study tests one of the strategies to minimize methane emissions by using iron minerals and other terminal electron acceptors in the inhibition of methanogenesis due to the biodegradation of residual hydrocarbons under alternative, non-methanogenic redox conditions. Our results reveal the potential of indigenous microbes to biodegrade hydrocarbons in the tailings under iron- and sulfate-reducing conditions channelling carbon flow from hydrocarbons to carbon dioxide.
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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 | 0.000 | 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".