Microcosm Characterization of Microbial Sulfur and Carbon Interactions within the First Pilot Oil Sands Pit Lake, Base Mine Lake
Bibliographic record
Abstract
This experimental study examined sulfur reduction, methanogenesis, anaerobic oxidation of methane and their relative responses to labile organic carbon amendment (lactate and microal-gae) in simulated oil sands pit lake (PL; Base Mine Lake; BML) fluid fine tailings- water inter-face (FWI) microcosms. Respective sulfate reduction and methanogenesis rates of 1.7 and 1.1 μmol/L/day both increased up to 240 μmol/L/day with labile organic carbon supplementa-tion. Further, sulfur reduction inhibited methanogenesis under labile carbon limiting conditions, but increased methanogenesis under high labile carbon loads. Increasing the rates of both pro-cesses pose a risk to BML water cap oxygen dynamics associated with the generation of oxygen consuming constituents, sulfide, and methane. Results identify that managing the balance be-tween oxygen producing primary production and subsequent oxygen consumption through aer-obic and anaerobic algal biomass decomposition will be critical to prevent increasing episodic anoxia currently observed in BML, informing future PL design as a fluid fine tailings (FFT) closure reclamation strategy.
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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 | 0.001 | 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".