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Record W1976316273 · doi:10.1159/000244410

Visual Evoked Potentials for Prediction of Neurodevelopmental Outcome in Preterm Infants

2009· article· en· W1976316273 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

VenueBiology of the Neonate · 2009
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicinePediatricsOutcome (game theory)Psychology

Abstract

fetched live from OpenAlex

Visual evoked potentials (VEPs) have proved to be accurate predictors of outcome in term infants with hypoxic-ischemic encephalopathy. Parallels between term asphyxia and hypoxic-ischemic injury in the preterm brain suggested the hypothesis that VEPs may predict the development of periventricular leukomalacia (PVL) and later cerebral palsy. 123 infants less than 32 weeks' gestational age were enrolled in the study. VEPs were done in the first 3 weeks of life (usually first week). VEPs did show a statistically significant association with PVL (p < 0.04) although false-positive recordings were twice as frequent as true-positive recordings. VEPs were not associated with grade III-IV intraventricular hemorrhage (p = 1.0). Unlike asphyxiated term infants, VEPs were not predictive of abnormal neurodevelopmental outcome in the preterm population.

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 score0.131
Threshold uncertainty score0.275

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 head0.022
GPT teacher head0.300
Teacher spread0.278 · 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