Spontaneous subarachnoid hemorrhage: A primer for acute care practitioners
Bibliographic record
Abstract
Subarachnoid hemorrhage (SAH) refers to intracranial bleeding into the cerebrospinal filled space beneath the arachnoid membrane that covers the brain. It is further defined as a spontaneous SAH when not associated with trauma. The commonest single cause is rupture of a saccular (i.e. a small bag-shaped or pouch-shaped) intracranial aneurysm, arising from the larger conducting arteries traveling through the subarachnoid space at the base of the brain. As these are high-pressure and higher-volume arterial hemorrhages, aneurysmal subarachnoid hemorrhages (aSAH) are associated with high early mortality and substantial long-term morbidity. But, as we outline below, prompt and collaborative multidisciplinary care can improve the likelihood and quality of survival. Accordingly, we offer the following primer as a common resource to increase knowledge and collaborative care.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 0.005 |
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".