Bibliographic record
Abstract
Abstract Microorganisms inhabiting terrestrial endolithic habitats are widespread in polar environments including the Antarctic Dry Valleys and the Canadian high Arctic. Their ability to survive in these harsh environments is a result of their finding protection from extremes in temperature, aridity, radiation and winds by colonizing nutrient-rich subsurface habitats that provide more amenable conditions for growth, often developing as vertically stratified communities that include fungi, algae, cyanobacteria and heterotrophic bacteria. Despite finding some refuge from climatic extremes, endolithic microorganisms commonly produce extracellular polysaccharides to avoid desiccation and minimize the damaging effects of freeze-thaw cycles. These microorganisms are geochemically reactive with their endolithic surroundings, observed as heterogeneous concentrations and distributions of metals resulting from mineral dissolution and precipitation reactions as well as element and nutrient release and cycling. Novel microscopy techniques such as SEM-BSE reveal much information about the physiological state of these microorganisms in situ, and show how under specific conditions, microbe-mineral interactions produce unique biosignatures of interest to studies in astrobiology. Their ability to change in situ pH conditions shows that can be directly involved in weathering of endolithic habitats, but the ecology of a given endolithic microbial community can have varying effects on rates of rock weathering. These differences in weathering rates may be an important control on microbial species diversity in polar desert endolithic habitats. Keywords: endolithic microorganismsgeomicrobiologyastrobiologybiosignaturespolar habits Acknowledgments The author would like to thank two anonymous reviewers for their constructive comments that improved the focus of the original manuscript. This work is supported by Canada's Natural Sciences and Engineering Research Council of Canada and the Jackson School of Geosciences at the University of Texas at Austin.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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; both teacher heads agree on what is shown here.
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".