Report of the National Institute of Neurological Disorders and Stroke Workshop on Perinatal and Childhood Stroke
Bibliographic record
Abstract
The National Institute of Neurological Disorders and Stroke and the Office of Rare Disorders sponsored a workshop on perinatal and childhood stroke in Bethesda, Maryland, on September 18 and 19, 2000. This was an international workshop to bring together experts in the field of perinatal and childhood stroke. Topics covered included epidemiology, animal models, risk factors, outcome and prognosis, and areas of future research for perinatal and childhood stroke. Stroke in infants and children is an important cause of morbidity and mortality and an emerging area for clinical and translational research. Currently, there is no consensus on the classification, evaluation, outcome measurement, or treatment of perinatal and childhood stroke. Pediatric stroke registries are needed to generate data regarding risk factors, recurrence, and outcome. The impact of maternal and perinatal factors on risk and outcome of neonatal stroke needs to be studied. This information is essential to identifying significant areas for future treatment and prevention.
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 | 0.019 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.010 | 0.012 |
| Insufficient payload (model declined to judge) | 0.013 | 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".