Opsoclonus Myoclonus Ataxia Syndrome in the Setting of COVID-19 Infection
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A middle-aged man presented with imbalance and involuntary jerky movements of the body 3 weeks after initial recovery from coronavirus disease 2019 (COVID-19) lung infection, diagnosed by positive high-resolution CT thorax (COVID Reporting and Data System 5) and reverse transcription PCR (RT-PCR) from nasal swab.He had opsoclonus, cortical myoclonus, and symmetric cerebellar ataxia of speech, limbs, trunk, and gait on examination 1 (video 1).His MRI brain with contrast, CSF examination, HIV, Venereal Disease Research Laboratory, autoimmune, and paraneoplastic panel (including anti-GAD, antinuclear antibodies, antineutrophil cytoplasmic antibodies, anti-Hu, anti-Yo, anti-Ri, anti-amphiphysin, anti-PNAM2-Ma2/Ta antibodies), metabolic functions (hemogram, hematocrit, glucose, thyroid, renal, hepatic functions, electrolytes, serum and urine osmolality), and repeat nasal COVID-19 RT-PCR were normal.He recovered after treatment consisting of IV methylprednisolone (1 g/d), sodium valproate (20 mg/kg/d), clonazepam (2 mg/d), and levetiracetam (2 g/d) in 1 week (video 2).Our case adds to the increasing list of novel neurologic manifestations occurring in the setting of 3
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it