Substantial early, but nonprogressive neuronal loss in multiple sclerosis (ms) spinal cord
Bibliographic record
Abstract
Research in multiple sclerosis (MS) has recently been focusing on the extent of neuroaxonal damage and its contribution to disease outcome. In the present study, we examined spinal cord tissue from 30 clinically well-characterized MS patients. MS, amyotrophic lateral sclerosis (ALS), and control spinal cord tissue were subjected to morphometric analysis and immunohistochemistry for markers of cell damage and regeneration. Data were related to disease duration and age at death. Here, we present evidence for substantial, nonprogressive neuronal loss on the cervical and lumbar levels early in the disease course of MS. Chromatolytic neurons and immunoreactivity for c-Jun and GAP43 were observed in the ventral gray matter in and adjacent to actively demyelinating lesions, pointing toward neuronal damage and regeneration as an early response to lesion formation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".