Revisiting the concept of amyotrophic lateral sclerosis as a multisystems disorder of limited phenotypic expression
Bibliographic record
Abstract
PURPOSE OF REVIEW: The current review will examine the contemporary evidence that amyotrophic lateral sclerosis (ALS) is a syndrome in which the unifying feature is a progressive loss of upper and lower motor neuron function. RECENT FINDINGS: Although ALS is traditionally viewed as a neurodegenerative disorder affecting the motor neurons, there is considerable phenotypic heterogeneity and widespread involvement of the central nervous system. A broad range of both causative and disease modifying genetic variants are associated with both sporadic and familial forms of ALS. A significant proportion of ALS patients have an associated frontotemporal dysfunction which can be a harbinger of a significantly shorter survival and for which there is increasing evidence of a fundamental disruption of tau metabolism in those affected individuals. Although the traditional neuropathology of the degenerating motor neurons in ALS is that of neuronal cytoplasmic inclusions composed neuronal intermediate filaments, the presence of neuronal cytoplasmic inclusions composed of RNA binding proteins suggests a key role for RNA dysmetabolism in the pathogenesis of ALS. SUMMARY: ALS is a complex multisystem neurodegenerative syndrome with marked heterogeneity at not only the level of clinical expression, but also etiologically.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".