A Geochemical Comparison of Three Terrestrial Sites of Serpentinization: The Tablelands, the Cedars, and Aqua de Ney
Bibliographic record
Abstract
Abstract Although the Earth's subsurface hosts an abundance of microbial life, the influence of geochemistry on these communities remains poorly constrained. Ophiolites, sites where oceanic ultramafic minerals can be hydrated to serpentine minerals and metal oxides, create unique conditions capable of sustaining life. The fluid geochemistry of the Tablelands (NL, CAN), The Cedars (CA, USA), and Aqua de Ney (CA, USA), were studied to better characterize the range of fluid compositions observed at terrestrial sites of serpentinization. Fluids from these sites shared many commonalities including being ultra‐basic and reducing as well as having elevated levels of Cl−, Na+, K+, and Br− and depleted concentrations of Mg2+. They also exhibited a wide range of geochemistry. Isotopic and compositional data suggested the CH4 from The Cedars was a mixture of microbial and non‐microbial sources while the CH4 from the Tablelands was non‐microbial in origin. Aqua de Ney was the only site where the CH4 plotted in the abiogenic field. Despite being a known product of serpentinization, no H2 was detected at Aqua de Ney, likely due to the formation of abiogenic CH4 as well as the reaction of H2 and SO42− in the system to produce H2S. These unique sites of terrestrial serpentinization help to better understand the range of geochemistry at sites of serpentinization and its influence on the microbial communities in the subsurface.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".