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Record W2041172129 · doi:10.2217/14796678.2.5.593

Stroke in the Fetus and Neonate

2006· article· en· W2041172129 on OpenAlexaff
Adam Kirton, Gabrielle deVeber

Bibliographic record

VenueFuture Cardiology · 2006
Typearticle
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineNeuroimagingSubclinical infectionStroke (engine)NeuroprotectionCerebral palsyFetusIntensive care medicinePhysical medicine and rehabilitationPregnancyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Multiple patterns of focal ischemic injury in the fetal and perinatal brain are now recognized as important causes of neurological disability in children. Strokes may be arterial or venous, symptomatic or subclinical, and can occur across multiple timeframes. Establishing the importance of an increasing number of potential risk factors and translating that knowledge into an improved understanding of pathophysiology are major challenges. Advanced neuroimaging has facilitated increased recognition of perinatal stroke and an improved understanding of plasticity mechanisms in the developing brain. Better outcome prediction will assist in patient selection for advancing neuroprotective strategies to reduce cerebral palsy and other adverse outcomes suffered by most children.

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 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 score0.234
Threshold uncertainty score0.203

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 head0.005
GPT teacher head0.221
Teacher spread0.216 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2006
Admission routes1
Has abstractyes

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