MARS ENVIRONMENT SIMULATOR, ENVIRONMENTAL AND AEROSPACE
Bibliographic record
Abstract
a wide range of human physiological testing. It contains equipment for measurement of non-invasive blood pressure, electrocardiograms, breath-by-breath respiratory gas exchange, blood gases, and Doppler ultrasound blood flow. The laboratory is also equipped with a respiratory feedback control system, computer-controlled tilt table and cycle ergometer. The Aerospace Physiology Laboratory is integrated via computer (audio, video, and data) with the existing Environmental Physiology Unit (EPU) at Simon Fraser University. The main features of the EPU are: a dive/altitude chamber complex with an altitude capability of 33.5 km (110, 000 ft, equivalent to Mars atmospheric pressure). The dive/altitude chamber has living quarters for four with life support and communications systems for eight. The integration of the Aerospace Physiology Laboratory and the EPU provides a unique facility for Mars related research. Mars hardware, extra-vehicular activity (EVA) and life support systems as well as human physiology and performance can be studied in a controlled simulated Mars environment. We have embarked on an ambitious program to build a state-of-the-art aerospace physiology laboratory and to reshape the Environmental Physiology Unit to meet the demands of the next century. This combined Environmental and Aerospace Physiology Laboratory is the only university research facility in Canada with the capability to research physiological issues associated with diving, aviation, and space environments. The facility extends Canadian science capabilities into research related to astronaut health and life support, decompression sickness, and EVA life support technology development. In addition to physiological research and testing, the Environmental and Aerospace Physiology Laboratory provides a world-class scientific and technical training facility for both academic and industrial partners.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".