Longitudinal glia in the fly CNS: pushing the envelope on glial diversity and neuron-glial interactions
Bibliographic record
Abstract
Interactions between neurons and glial cells are crucial for nervous system development and function in all complex organisms, and many functional, morphological and molecular features of glia are well conserved among species. Here we review studies of the longitudinal glia (LG) in the Drosophila CNS. The LG envelop the neuropil in a membrane sheath, and have features resembling both oligodendrocytes and astrocytes. Because of their unique lineage, morphology and molecular features, the LG provide an excellent model to study the genetic mechanisms underlying glial subtype differentiation and diversity, glial morphogenesis and neuron-glial interactions during development. In addition, they are proving useful in understanding how glial cells maintain ion and neurotransmitter homeostasis and protect neurons from environmental insult.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".