The promise of anti-inflammatory therapies for CNS injuries and diseases
Bibliographic record
Abstract
It remains controversial as to whether the inflammatory response plays a beneficial or detrimental role for cerebral tissue. There is substantial evidence that molecules of the innate immune reaction can be harmful to neurons and oligodendrocytes, whereas other observations indicate that inflammation is actually beneficial to recovery after injuries. One of the beneficial consequences of the immune reaction by microglia is the release of neurotrophic factors that have essential roles in brain homeostasis, neuroprotection and repair in cases of injury. Another important action of microglia is the clearance of cell debris and toxic proteins in order to prevent their accumulation in the extracellular space. Such beneficial effects of subsets of innate immune cells have to be taken into serious consideration in the planning of clinical trials using anti-inflammatory drugs for CNS diseases, which have failed so far. This very important subject has been discussed at the 13th Annual Meeting of the American Society for Experimental Neurotherapeutics in Bethesda, MD, USA.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".