[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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".