No pun intended: future directions in invertebrate glial cell migration studies
Bibliographic record
Abstract
Glial cells play a wide range of essential roles in both nervous system development and function and has been reviewed recently (Parker and Auld, 2006). Glia provide an insulating sheath, either form or direct the formation of the blood-brain barrier, contribute to ion and metabolite homeostasis and provide guidance cues. Glial function often depends on the ability of glial cells to migrate toward specific locations during nervous system development. Work in nervous system development in insects, in particular in the fruit fly Drosophila melanogaster and the tobacco hornworm Manduca sexta, has provided significant insight into the roles of glia, although the molecular mechanisms underlying glial cell migration are being determined only now. Indeed, many of the processes and mechanisms discovered in these simpler systems have direct parallels in the development of vertebrate nervous systems. In this review, we first examine the developmental contexts in which invertebrate glial cell migration has been observed, we next discuss the characterized molecules required for proper glial cell migration, and we finally discuss future goals to be addressed in the study of glial cell 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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.124 | 0.044 |
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".