The Interconnectedness of Bacterial Communities in Cryoconite Holes and Nearby Soils on Canada Glacier in the Taylor Valley, Antarctica
Bibliographic record
Abstract
Cryoconite holes, small depressions that form on glacial surfaces, are considered the most biologically active environments on glaciers. I investigated the relationship between the bacterial communities of cryoconite holes and the nearby soils of Canada Glacier in the Taylor Valley, Antarctica, with the aim to understand the potential sources of inoculum. I used high throughput DNA sequencing to identify Exact Sequence Variants (ESVs) present in cryoconite holes and nearby soil samples, analyzing alpha and beta diversity to compare microbial community compositions. Significant differences in bacterial communities among habitats were observed, suggesting that cryoconite holes harbor unique microbial populations influenced by environmental factors such as water availability. Wind dispersal appears to play a crucial role in cryoconite inoculation, supported by shared ESVs between cryoconite, air, and soil samples. Further research is needed to fully understand the mechanisms of dispersal; however, this study contributes to the understanding of the complex interactions between cryoconite and soil communities.
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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 | 0.001 |
| 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".