The role of chronic cerebrospinal insufficiency in multiple sclerosis
Bibliographic record
Abstract
Multiple sclerosis is a non-hereditary neurodegenerative disease caused by an autoimmune process that results in demyelination of axons in the central nervous system thus leading to a broad spectrum of neurological symptoms. The etiology of multiple sclerosis is multifactorial and a single cause explaining all aspects of the disease has not yet been identified. Authors have agreed that this disorder is most likely due to a combination of factors, which includes a genetic predisposition, combined with environmental elements and possibly an infectious component. The cascade is initiated by the blood-brain barrier breakdown. This allows T-cell infiltration into the central nervous system, which triggers an inflammatory process that causes axonal myelin sheath damage resulting in poor neuronal action potential propagation. Oligodendrocytes attempt to remyelinate, although insufficient to compensate for demyelination in the long term. The end result is permanent neuronal scarring and damage and loss of parenchyma. According to the National Multiple Sclerosis Society, multiple sclerosis patients may present three distinct clinical courses: relapsing remitting, primary progressive, and secondary progressive. In the last five years, additional propositions have been made to unveil the causes of multiple sclerosis. Zamboni has raised the possibility that multiple sclerosis and chronic venous disease may share some key features, particularly, increased iron deposition in the brain. This has been first described by Adams et al.: “In active multiple
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".