Sensory network segregation as a predictor of post spaceflight balance impairments and sensory re-weighting
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Exposure to microgravity results in transient sensorimotor performance declines when crewmembers return to Earth, likely due to sensory re-weighting. This poses performance risks following gravitational transitions, such as arriving on the Moon or Mars. Here, we examined whether sensory brain network segregation (how independently a given network functions) in astronauts prior to an International Space Station mission would predict balance post-flight. Intraclass correlation analysis showed high test-retest reliability for all sensory network segregation measures. Indices of the Parietal Operculum 2 network (OP2) segregation pre-flight significantly predicted balance performance. Specifically, greater segregation predicted poorer balance on day one following return to Earth (Left OP2), better balance four days post-flight (Left and Right OP2) and greater balance improvements from one to four days post-flight. Results suggest that OP2 segregation may index plasticity of sensory weighting processes; that is, the degree of vestibular input down-weighting measured initially post-flight and extent of recovery over subsequent four days.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it