MULTIPLE SCLEROSIS INDUCED NEUROPATHIC PAIN
Bibliographic record
Abstract
Multiple Sclerosis (MS) is an autoimmune disease of the central nervous system (CNS). Antigen induced activation of Th1 cells in the peripheral blood leads to elevated production of inflammatory cytokines such as tumor necrosis factor alpha (TNF-α) that have been directly linked to disease induction and neuropathic pain. It was hypothesized that following antigenic induction, cytokines gain access to the spinal cord and participate in direct cellular interaction with dorsal horn neurons. Using an animal model of MS, we show that TNF-α gene and protein expression in the dorsal root ganglia (DRG) and spinal cord tissue is increased in the active group. In addition, our findings show TNF-α mRNA expression in the dorsal root entry point. Therefore, our results support the hypothesis that antigen induced DRG derived TNF-α can transport to the spinal cord via the dorsal roots and is involved in the underlying pathogenesis of MS induced neuropathic pain.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 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".