Examination into the HI-SEAS IV built environment reveals differences in the microbial diversity and composition of plastic and wood surfaces
Bibliographic record
Abstract
The conditions within a confined built environment designed for long-term habitation during space travel can influence the microbiomes of the abiotic surfaces, emphasizing the necessity of regular microbial screens. The recent Hawaii Space Exploration Analog and Simulation (HI-SEAS) IV study examined the microbiome of a confined environment built to mimic a habitat on Mars. Temporal variations in microbial diversity were identified within the HI-SEAS built environment, but the factors associated with the observed microbial dynamics had yet to be explored. Here, we identified these factors by investigating the potential effect of resupply events and surface material on microbial diversity and composition. We found that resupply events had no significant effect on the alpha or beta diversity of the microbiome within the HI-SEAS built environment, but that plastic and wood surfaces exhibited significant differences in alpha and beta diversity. Together, our study provides insights into the considerations for monitoring microbial communities within a confined habitat designed for space exploration.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".