Startle-induced (and other sensory-induced) epilepsy
Bibliographic record
Abstract
This chapter presents the diagnostic tests and principles of management for intracerebral hemorrhage (ICH), subdural hematoma (SDH) and extradural hemorrhage (EDH). ICH is twice as common as subarachnoid hemorrhage (SAH) and more likely to result in death or major disability. Cerebrovascular disease (CVD) is the most commonly identified antecedent of epilepsy in adults, accounting for 11% of cases. Intracerebral hemorrhage is the most lethal form of stroke and is a medical emergency. Prompt imaging studies are required because clinical presentation alone is insufficient to differentiate ICH from stroke due to other causes. Scanning with computed tomography (CT) and magnetic resonance imaging (MRI) are first-choice options. Catheter-directed or minimally invasive endoscopic surgery for clot evacuation using tissue-type plasminogen activator may hold promise in selected patients. Retrospective studies of small numbers of patients conclude that the routine use of prophylactic anticonvulsants is of no benefit after clipping or coil embolization.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.023 |
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".