Refining the timeline of conjunctival papillae induction in the chick scleral ossicle system
Bibliographic record
Abstract
The conjunctival papillae, epithelial thickenings on the surface of the eye, are required for the induction of the underlying neural crest‐derived, intramembranous bones (the scleral ossicles). However, very little research has been conducted in the past 50 years on the mechanisms underlying the induction and patterning of these papillae. In order to further investigate this question, single papillae were surgically removed using fine tungsten needles at various time points during their development and the embryos were cultured for 1 to 5 days post‐surgery. Our results show that papilla removal had no effect on the patterning of the adjacent conjunctival papillae, and surprisingly, a normal patterned scleral ossicle develops under the site of surgery. This research demonstrates that the developmental timeline of the conjunctival papillae is much more flexible than previously noted. Our results also suggest that there is some compensatory mechanism taking place at the epithelial level for the induction of a complete ring of scleral ossicles. Thus, this study provides new insights into the mechanisms patterning the epithelium involved in epithelial‐mesenchymal induction of intramembranous bones. This research was primarily funded by the Natural Sciences and Engineering Research Council of Canada. Grant Funding Source : Natural Sciences and Engineering Research Council of 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".