Long-Term Effects of Simulated Microgravity and Vibration Exposure on Skeletal Development in Zebrafish
Bibliographic record
Abstract
Most studies utilizing fish to study the effects of simulated microgravity (SMG) only observe the effects during the first week of development. They also do not take into account the potential impact on development of vibrations caused by the equipment. In this study we analyze the effects of both SMG and vibration on development of the skeleton. We analyze three different exposure durations and starting points that coincide with cranial neural crest cell migration. We use a combination of bone staining and morphometrics to analyze the effects. Our data show that both vibration and SMG affect vertebra number and body size; however, not all vertebrae are equally affected by each treatment. We also show that delayed ossification manifests during development, particularly after SMG exposure, and this translates into buckled and bent bones in adults. This study highlights the large impact of even very short exposure periods when they coincide with critical time points of development.
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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 | 0.000 | 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) | 0.001 | 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 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".