Bibliographic record
Abstract
The multiple sclerosis disease process is defined on the basis of lesions disseminated in space and time within the CNS. Immunization of humans (vaccines) and animals with neural tissue can result in multi-focal CNS inflammatory lesions with demyelination; such disorders are usually uniphasic or self-limited. They are initiated by systemically activated myelin-reactive T cells that then access the CNS. Myelin-reactive T cells can be recovered from the CNS and blood in multiple sclerosis. Such cells can also be recovered from unaffected individuals. These observations raise issues regarding the origin of such cells in non-immunized individuals and why their presence is variably associated with uniphasic disease, recurrent disease, or no disease. Most autoreactive cells may actually be generated in response to exogenous peptide antigens with which there is cross-reactivity (molecular mimicry) with myelin antigens, reflecting the degeneracy of antigen recognition by T-cell receptors (Nino-Vasquez et al ., 2004). Studies in animals showing that depletion of specific subpopulations of immune cells can unmask spontaneous or antigen-induced autoimmune disease, or conversely that such cells can transfer disease resistance, indicate that active immune-regulatory mechanisms contribute to the disconnection between the presence of autoreactive T cells and the development of autoimmune disease. As the capacity to define subsets of immune …
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| 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 | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".