MétaCan
Menu
Back to cohort
Record W1982392703 · doi:10.1542/peds.109.1.116

Report of the National Institute of Neurological Disorders and Stroke Workshop on Perinatal and Childhood Stroke

2002· article· en· W1982392703 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePEDIATRICS · 2002
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineStroke (engine)EpidemiologyPediatricsPediatric strokeIntensive care medicineIschemic strokePsychiatryInternal medicine

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.207

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.024
GPT teacher head0.256
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it