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Record W2096969051 · doi:10.2741/1890

Genetics of perinatal brain injury in the preterm infant

2006· review· en· W2096969051 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

VenueFrontiers in bioscience · 2006
Typereview
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of ManitobaChildren's Hospital Research Institute of ManitobaManitoba Health
Fundersnot available
KeywordsMedicineIntraventricular hemorrhageIntensive carePediatricsCentral nervous systemPathophysiologyBioinformaticsPregnancyIntensive care medicineInternal medicineBiologyGestational ageGenetics

Abstract

fetched live from OpenAlex

Due to developmental immaturity of the central nervous system, effects of an adverse intrauterine environment and need for intensive care postnatally, preterm infants are at high risk of sustaining brain injury in the perinatal period. Infants who suffer brain injury in the perinatal period are at risk for long-term neurodevelopmental sequelae. Clinical and experimental data supports a significant role for inflammatory mediators in the pathophysiology of perinatal brain injury. Abnormalities in coagulation proteins in the sick preterm newborn may accentuate the risk for intraventricular hemorrhage. Polymorphisms in TNF alpha , IL-1 beta , IL-4, IL-6 and IL-10 as well as mutations in coagulation proteins have been investigated as potential candidate genes to modify risk and or severity of perinatal brain injury. Preliminary evidence suggests a role for cytokine genes as risk modifiers for IVH and PVL.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score0.682

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.062
GPT teacher head0.421
Teacher spread0.360 · 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