Bibliographic record
Abstract
Abstract Glia, including astrocytes, microglia and oligodendrocytes, are important components that maintain the architecture of the brain and in many ways contribute to the proper functioning of neurons. Glial cells vastly outnumber neurons in the brain and independently control several crucial brain functions. Impaired glial cells are the cause of several diseases, and pharmacological targeting to repair damaged glia will enable functional recovery in patients suffering from devastating neurological disorders. The interaction between glial cells and some patrolling immune cells in the brain comprise the brain-specific immune system that protects the brain from extraneous agents and repairs injured tissue. While this system can cope with minor insults and infections, when faced with significant challenges such as AIDS dementia, multiple sclerosis, Huntington’s disease, Parkinson’s disease, etc., an effective and balanced immune response that facilitates repair and protection is found wanting. Several debilitating neurological disorders are often associated with dysfunctional glial cells that have limited ability to repair the injured brain and even promote brain damage. In this discussion, specific signaling pathways in glia that are affected in AIDS dementia and periventricular white matter injury will be highlighted.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".