[Long-run eco-medical monitoring in North America using the Heart Wizard MARS-500 system].
Bibliographic record
Abstract
From 2009 through to 2011, a long-run eco-medical monitoring was undertaken as a part of satellite project MARS-500. One of the objectives was field testing of innovative technologies of human functional state estimation. The monitoring protocol was a replica of that in the experiment with 520-day isolation. Heart Wizard Mars-500, a telemedical health estimation system based on heart rate variability analysis and pre-nosology diagnosis was trialed in the US and Canada. First and foremost the pre-nosology monitoring is aimed to estimate potential risks of maladaptation. Our results confirm diagnostic comprehensiveness of HRV analysis, particularly in long-run systematic health monitoring and when compared and contrasted with entries in the health and lifestyle questionnaire and functional test data. Heart Wizard Mars-500 is a simple and easy system for home use. Individual pre-nosology monitoring, initiation into own functional state and potential risk factors may inspire to change way of life and thus to improve health and life quality.
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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 | 0.001 |
| 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".