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Record W2090616688 · doi:10.1080/87565641.2013.870178

A Review of Cognitive Outcomes in Children Following Perinatal Stroke

2014· review· en· W2090616688 on OpenAlexaff
Kara Murias, Brian L. Brooks, Adam Kirton, Giuseppe Iaria

Bibliographic record

VenueDevelopmental Neuropsychology · 2014
Typereview
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsNeuroimagingPsychologyStroke (engine)CognitionRehabilitationPhysical medicine and rehabilitationEpilepsyNeuroscienceMedicine

Abstract

fetched live from OpenAlex

Perinatal stroke is a significant cause of congenital neurological disability. Although motor deficits and epilepsy are relatively easy to identify, developmental and behavioral co-morbidities are more complex and challenging to define. We provide an overview of perinatal stroke syndromes and theories relating injury in the developing brain to long-term outcomes. We present a comprehensive overview of the effects on intelligence and other specific cognitive domains, as well as investigations relating clinical features and neuroimaging to deficits. Better understanding of the impact of early stroke has potential to elucidate processes of brain development, in addition to providing guidance for prognosis and rehabilitation.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.005
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.027
GPT teacher head0.351
Teacher spread0.324 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations50
Published2014
Admission routes1
Has abstractyes

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