The interplay between the immune and central nervous systems in neuronal injury
Bibliographic record
Abstract
Once perceived as a region of limited immune activity, the CNS is now known to be an important site of immune interactions. Activated T cells can infiltrate the blood-brain barrier where they accumulate and proliferate in response to antigen restimulation. These leukocytes express proinflammatory cytokines that help in activating microglia and other immune cells. A profound inflammatory response ensues, which can lead to axonal injury and demyelination. In contrast, other T cells can be neuroprotective. CD4(+) Th2 cells secrete anti-inflammatory cytokines and can elicit the production of bioactive neurotrophins from CNS glia. In addition, neurons themselves can contribute to immune system regulation by being targets of neurotoxic T cells or by altering T-cell activity, including the generation of regulatory T cells. The interplay between components of the immune system and CNS contributes both to healthy brain function and to the pathogenesis of neurodegenerative diseases such as multiple sclerosis.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".