Expression and Secretion of a Soluble Form of Myelin-Associated Glycoprotein (MAG)
Bibliographic record
Abstract
Myelin-associated glycoprotein (MAG) was first identified as the major glycoprotein in the central nervous system (CNS) through 3 Hfucose-labeling experiments ( 1 ). It is expressed on the surface of glial cells of both the CNS and peripheral nervous system (PNS). During development, it is localized throughout the wraps of loose myelin; after compaction, it is restricted to Schmidt-Lanterman incisures, paranodal loops, outer mesaxon, and in particular to the glial-axon interface ( 2 , 3 ). The protein is thought to play a role in maintaining the periaxonal space. MAG has also been postulated to be involved in glial-neuron adhesion during myelination. This is based on the finding that anti-MAG antibodies inhibit oligodendrocyte-neuron adhesion by 25% ( 4 ), and that MAG liposomes bind a variety of neuronal cells ( 5 ). Observations from in vitro myelination cultures also support a role for MAG in Schwann cell adhesion, migration, and elongation along neurites ( 6 , 7 ). These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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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 | 0.000 |
| 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".