Mars Analog Station Cognitive Testing (MASCOT): Results of First Field Season
Bibliographic record
Abstract
Understanding the factors influencing crew performance under conditions of long-term isolation, confinement, high workload and elevated risk is an important prerequisite to the manned space exploration missions beyond low-Earth orbit that are planned under the new National Space Policy of the United States. Quantitatively tracking the performance of crews affected by those stressors is therefore crucial both during actual space missions and as part of precursor activities on the ground, such as those taking place at planetary-analog simulation facilities. During the summer of 2003, an experiment was carried out tracking the cognitive performance of the crew on board such a facility, the Mars Society’s “Flashline Mars Arctic Research Station” in the Canadian High Arctic. In addition to the self-administered computer-based testing, the crew’s daily activities were logged to enable the identification of external factors that might affect the observed performance. The results provide insight into the variation of crewmembers’ cognitive performance over time in the presence of a variety of stressors caused by the environment, their ambitious exploration program, station systems operation, and group interaction.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".