The new Global Multiple Sclerosis Severity Score (MSSS) correlates with axonal but not glial biomarkers
Bibliographic record
Abstract
This study investigated whether the new Global Multiple Sclerosis Severity Scale (MSSS) correlated with cerebrospinal fluid biomarkers for axonal and glial pathology. The MSSS correlated with the phosphorylated neurofilament heavy chain (NfH-SM135, R=0.44, P=0.016). The degree of neurofilament phosphorylation (ratio NfH-SM134 to NfH-SM135) was 8-fold higher in severely (median MSSS 6.5) versus mildly (MSSS 3.2) disabled patients (7.3 versus 0.9, P = 0.03). The MSSS may provide a statistically powerful tool for comparing overall disease severity and be useful for validating the biomarker concept in MS.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".