Bibliographic record
Abstract
BACKGROUND: Little is known about stroke mechanisms in patients with fluctuating symptoms and the role of branch atherosclerotic disease. OBJECTIVE: To report a novel stroke presentation associated with a paramedian pontine infarct due to branch disease with a fluctuating course. DESIGN: Case report. SETTING: Academic research. Patient A 63-year-old man with hypertension, diabetes mellitus, and dyslipidemia was seen with fluctuating right-sided weakness and dysarthria. He had had 2 episodes of complete bilateral horizontal conjugate gaze palsy with unimpaired consciousness lasting for 5 minutes each. His pupils were 4 mm and were equal and reactive to light. Vertical gaze and convergence were preserved. His neurologic status fluctuated between 3 and 15 on the National Institutes of Health Stroke Scale. MAIN OUTCOME MEASURES: Results of computed tomographic angiography, perfusion, and magnetic resonance imaging. RESULTS: Intravenous tissue plasminogen activator was administered within a 3-hour window. Fluctuations in motor weakness persisted for 12 hours after receiving thrombolytic therapy. Neuroimaging showed an acute left paramedian pontine infarct with a patent basilar artery. CONCLUSIONS: Branch disease is a common mechanism in pontine infarctions. We coined the term "pontine warning syndrome" to characterize recurrent stereotyped episodes of motor or sensory dysfunction, dysarthria, or ophthalmoplegia associated with a high risk of imminent basilar artery branch infarction and a permanent deficit resembling those of capsular warning syndrome.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".