Rapidly expanding venous intracerebral haemorrhage with spot sign
Bibliographic record
Abstract
A 79-year-old woman was brought to the hospital with an acute-onset left haemiparesis. On initial examination, she had a pure sensorimotor syndrome with left-sided weakness and sensory disturbance. Her mental status was normal. She had normal visual fields to confrontation and no neglect. Her initial CT and CT angiogram revealed cerebral venous thrombosis with associated haemorrhage. A 'spot sign' was visible on CT angiogram. Immediately following the CT scan, the patient had a rapidly progressive decline in level of consciousness, requiring endotracheal intubation. A follow-up CT scan 70 min later showed the haemorrhage had expanded dramatically, with mass effect, midline shift and herniation. After a discussion with the family, the patient was extubated and died the following day. This is the first case of a cerebral venous thrombosis with associated spot sign-positive haemorrhage and published clinical details that the authors are aware of.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".