ED41C-0935: Long-Duration, Multi-Stage Mars Analog for Testing Human Resilience in Space
Bibliographic record
Abstract
The recent advancements in NASA’s analog programs allow scientists to observe the effects of living on other planets safely from Earth, where advanced technology simulates extraterrestrial landscapes within a space module. One aspect that NASA has not explored, however, is the effect on humans of a full-length, multi-stage mission with both transit to Mars and life on Mars. This research focuses on developing the Human Exploration Long-Duration Interplanetary Exploration (HELIX) Analog, which intends to replicate all stages of a Mars mission to assess how humans react to challenges such as equipment failure, agricultural self-sustainability, and the psychological impacts of isolation. The analog is designed to simulate 144 days of transit time, as well as 217 days of Martian environment residency, emulating a full mission in half of the real timeframe. The HELIX Analog would simulate a zero-gravity environment for testing extra-vehicular activity (EVA) during travel by submerging a Transit module in a Neutral Buoyancy Pool. The on-land portion of the analog would be located on Devon Island in Northern Canada, commonly known as “Mars on Earth.” Experiments focus on subjects’ abilities to respond to off-nominal events, prioritize tasks in the face of unexpected obstacles, and develop farming techniques such as aquaponics and traditional agriculture to sustain themselves both in microgravity and on Mars. As with all other current NASA analogs, HELIX will closely monitor the crew’s mental health. HELIX strives to develop accessible counseling methods to address the toll that lengthy missions take on the mind, with a focus on the effects of living in a small, isolated group. The analog would host six to eight crew members with relevant scientific or medical experience and education for one full year in isolation.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".