Canadian Association of Neurosciences Review: Regulation of Myelination by Trophic Factors and Neuron-Glial Signaling
Bibliographic record
Abstract
Myelination in the nervous system is a tightly regulated process that is mediated by both soluble and non-soluble factors acting on axons and glial cells. This process is bi-directional and involves a variety of neurotrophic and gliotrophic factors acting in paracrine and autocrine manners. Neuron-derived trophic factors play an important role in the control of early proliferation and differentiation of myelinating glial cells. At later stages of development, same molecules may play a different role and act as inducers of myelination rather than cell survival signals for myelinating glial cells. In return, myelinating glial cells provide trophic support for axons and protect them from injury. Chronic demyelination leads to secondary axonal degeneration that is responsible for long-term disability in primary demyelinating diseases such as multiple sclerosis and inherited demyelinating peripheral neuropathies. A better understanding of the molecular mechanisms controlling myelination may yield novel therapeutic targets for demyelinating nervous system disorders.
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.010 |
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".