Unravelling the Role of the Vasculature and Extracellular Matrix in Intramembranous Bone Development
Bibliographic record
Abstract
The relationship between bone development and the developing vasculature is well understood for endochondral bones but not for intramembranous bones. Intramembranous bones develop without a cartilage precursor from an aggregation of preosteogenic cells. Here we study, a series of intramembranous bones, known as the scleral ossicles, in order to unravel these relationships. The scleral ossicles are induced by specialised placodes of the conjunctival epithelium. We injected hydrocortisone into the developing embryo and observed the effect on the scleral bones and on the epithelial placodes. We show that there is a greater effect on the scleral bones than on the placodes, the structures that induce them. To further explore this effect, we next analysed the effect of the treatment on the developing scleral vasculature and scleral extracellular matrix. We show that both are affected indicating that vasculature and extracellular matrix within the sclera make a critical contribution to intramembranous bone development. This research provides important insights into understanding the role of the scleral mesenchyme in supporting scleral ossicle development and contributes to our understanding of sclerotic ring loss over vertebrate evolution. Support or Funding Information Natural Sciences and Engineering Research Council, Canada
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".