‘Follow the Water’: Hydrogeochemical Constraints on Microbial Investigations 2.4 km Below Surface at the Kidd Creek Deep Fluid and Deep Life Observatory
Bibliographic record
Abstract
Microbiological and geochemical data are presented to characterize the hydrogeochemistry and to investigate extant microbial life in fracture waters 2.4 km below surface, at the Kidd Creek Observatory in Canada. Previous studies identified the world’s oldest groundwaters with mean residence times on the order of millions to billions of years trapped in fractures in Precambrian host rock here. In this study, major ion chemistry, δ18O and δ2H isotopic signatures and dissolved gases in the fracture waters are shown to be distinct from potential contamination end-members, demonstrating the fracture waters are not impacted by waters used in mining operations. A previous work on sulfur isotope signatures suggested a longstanding indigenous population of sulfate-reducing bacteria in these highly reducing fluids and sufficient sulfate to support microbial activity. Here, we report the first evidence for extant visible and cultivable microbial life at this location. Anaerobic metabolisms were investigated using the Most Probable Number (MPN) method. The fracture fluids contained extant cells at low biomass density (∼103–104 cells/mL) and showed a strong response from autotrophic sulfate-reducers and alkane-oxidizing sulfate reducers. These lines of evidence provide the interpretational framework (chemical, hydrogeologic, and microbiologic) essential to the on-going genomic and metagenomic investigations at the Kidd Creek Observatory – the world’s most longstanding location for investigation of subsurface fluids and deep life at such profound depth.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".