Bacterial survival at solid-air interfaces: from individual response to population ecology
Bibliographic record
Abstract
Acclimation and flexible response mechanisms are ancient survival modes allowing prokaryotic cells to conquer diverse habitats and maintain viability in nature. Evidently, lack of water significantly impacts cellular response making it vital for individual cells to benefit from population support and access survival means available beyond the cell boundaries. Microscopy of dried bacterial cells at solid-air interfaces suggested that cell membrane breakdown didn’t occur for months. Viable counts for Gram-positive Arthrobacter spp. and Gram-negative Pseudomonas stutzeri were significantly higher for larger population density during prolonged periods of desiccation and nutrient starvation. Presence of homogenized cells extended short-term survival of Arthrobacter spp. cells, while heat-killed cells significantly extended viability of all populations. It appeared that huddled zombielike cells allow preservation and recycling of essential survival components within a population. Understanding population-mediated survival at solid-air interfaces is key for monitoring and controlling bacteria including in deep geological repositories for nuclear waste management.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".