Reversible Parinaud Syndrome Following Intraventricular Thrombolysis
Bibliographic record
Abstract
A 57-year-old daycare educator presented as a drowsy but oriented individual with a history of sudden and severe headache associated with vomiting. She had no previous medical or neurological history. Examination showed no focal signs and routine laboratory studies were unremarkable. Head computed tomogram (CT) revealed a Fisher grade IV subarachnoid hemorrhage in the posterior fossa with extensive intraventricular hemorrhage (Graeb 8/12, see Figures 1A and 1B) which was shown to originate from a left Posterior Inferior Cerebellar Artery (PICA) aneurysm on CT angiography and treated successfully with endovascular embolization. Five days later she deteriorated her level of consciousness (Glascow coma scale [GCS] 8/15). The CT scan showed moderate hydrocephalus and a ventricular drain was placed. She improved clinically but remained disoriented with slowed information processing skills.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".