The Microbial and Geochemical Architecture of Scotian Slope Cold Seep Site 2A-1, Scotian Slope, Canada
Bibliographic record
Abstract
Summary Cold seeps, occur globally along the seabed of continental margins. These sites are identified by the reduced fluids they expel, which helps to form oasis-like ecosystems in highly redox stratified sediments that are unique compared to the surrounding seafloor. In this study, using a remotely operated vehicle, a 600 m long, six push core, transect was collected from cold seep site 2A-1, located on the Scotian Slope of Eastern Canada. Downcore porewater ions and lipidomic profiles were generated. These data were compiled as spatially resolved, two-dimensional heatmaps to examine both vertical and lateral changes in the subsurface geochemical and microbiological architecture of the seep structure. Twenty-three lipid classes, predominantly of archaeal origin, were tentatively identified and quantified. Microbially mediated metabolic zones of denitrification, microbial sulfate reduction, anaerobic methane oxidation, and methanogenesis were then mapped across the seep based on ion pore water concentrations and diffusion fluxes, carbon isotope values, lipidomic diversity patters, and biomarker proxy data. The resolved lipidome indicates the archaeal community is heavily zoned with diversity increasing as a function of seepage rate. The results also provide insights into seep evolution and its impact on microbial zonation dynamics across the seep structure.
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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 | 0.001 |
| 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".