MétaCan
Menu
Back to cohort
Record W4411795455 · doi:10.1542/neo.26-7-033

Cerebral Autoregulation in Neonates: Physiology and Beyond

2025· review· en· W4411795455 on OpenAlex
Aimann Surak, Georg M. Schmölzer, Khorshid Mohammad

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

VenueNeoReviews · 2025
Typereview
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsAlberta Children's HospitalUniversity of CalgaryRoyal Alexandra Hospital
Fundersnot available
KeywordsAutoregulationCerebral autoregulationMedicineCerebral blood flowCerebral circulationCirculatory systemHemodynamicsIntensive care medicineCerebrovascular CirculationPhysiologyNeuroscienceAnesthesiaCardiologyBlood pressureInternal medicinePsychology

Abstract

fetched live from OpenAlex

Neonatal cerebral hemodynamics represents a complex process affected by dynamic circulatory changes. Understanding the pathophysiology and factors that may affect cerebral blood flow in neonates is crucial to addressing the circulatory mechanism for neonatal brain injury. Studies have described multiple tools for monitoring cerebral blood flow; however, these are limited by the impracticality of using invasive tools. In this review, we explain the physiology of neonatal cerebral autoregulation with a focus on the transitional period and summarize the currently available methods for monitoring.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
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 head0.029
GPT teacher head0.335
Teacher spread0.305 · 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