Origin stories of neural crest roles in craniofacial development: A tale of the meninges
Bibliographic record
Abstract
As developmental biologists, we tell origin stories to explain differences in vertebrate craniofacial form and complexity. Some of these differences are linked to diseases, notably of patients born with congenital malformations, many of them syndromic. These defective processes impede proper neural crest cell migration, differentiation, and patterning of bones, cartilage, joints, muscle and other connective tissues, including of the head. For example, a rare form of holoprosencephaly called cyclopia is a particular quandary in its diverse presentation. This syndromic congenital disease includes lost brain frontal lobe septation and development of a single eye. Subsequent craniofacial midline defects include frontal suture synostosis, absent nose and medial maxilla, and a restructuring of facial bones to accommodate one eye. The meningeal tissues in contact with both the underlying brain and the overlying calvarial bone are derived at least in part from neural crest cells. This Perspectives piece re-examines communication between the neural crest cell-brain axis, explores the direct involvement of the meninges in this communication process, and proposes an expanded origin story about the etiology of craniofacial patterning and disease.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".