Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Massive cerebral infarcts cause brain edema with midline shifts and impingement on vital structures producing coma and death. The mortality rate is estimated at 80% with standard medical treatment. Surgical decompression with hemicraniectomy has proved to be life saving, but the impact on functional outcomes is largely unknown. The focus of this review is to discuss the treatment options for massive cerebral infarcts. REVIEW SUMMARY: Neurologic deterioration following massive cerebral infarct needs to be recognized early enough for medical and surgical interventions. Medical management includes monitoring in a neurologic intensive care unit, hyperosmolar agents, and hyperventilation. Surgical management includes decompressive hemicraniectomy and duraplasty with resection of infarcted tissue in some instances. CONCLUSION: Hemicraniectomy is emerging as a promising treatment of patients with massive cerebral infarcts, but only select patients benefit from this procedure. Further information from randomized controlled trials is required to elucidate the best treatment options for this kind of stroke.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it