P.046 Extensive leukoencephalopathy as a differential diagnosis of motor neuron disease: case report and literature review
Bibliographic record
Abstract
Background: Weakness is frequently a reason to attend neurology consultation which entails a challenge due to its wide range of diagnostic possibilities. We present the case of an elderly woman with long-standing right upper limb weakness. Methods: Patient data was obtained from medical records and an extensive neuropathological evaluation was performed. Results: Weakness started off in her right hand, which progressed insidiously to her right hemibody. with hyperreflexia, atrophy, fasciculations and foot drop. Subsequently, bulbar and left hemibody deterioration began. She died due to ventilatory failure four years after the first symptom appeared. A tigroid pattern in the neuroimaging studies suggest white matter involvement, while the neuropathological studies showed loss of motor neurons in the spinal cord. Conclusions: The available evidence does not allow us to dismiss the hypothesis of a motor neuron disease or a leukodystrophy. Cases like this one establish a diagnostic challenge due to their complexity and unusual etiology.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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; 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".