MétaCan
Menu
Back to cohort
Record W2034094499 · doi:10.1017/s0012162201001013

Neonatal infarction within basal cerebral vein territory

2001· article· en· W2034094499 on OpenAlexaff
Paul Govaert, Renate Swarte, Ann Oostra, Alexandra Zecic, Bart Vanzieleghem, Peter Van Langenhove

Bibliographic record

VenueDevelopmental Medicine & Child Neurology · 2001
Typearticle
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsCentre for Movement Disorders
Fundersnot available
KeywordsBasal (medicine)MedicineIntracranial haemorrhageVeinInfarctionOcclusionBrain infarctionRadiologyCardiologyInternal medicineDiabetes mellitusIschemiaMyocardial infarctionNeurosurgeryEndocrinology

Abstract

fetched live from OpenAlex

In this report, an unusual intracranial haemorrhage in a term male infant born to a mother with diabetes is explained on the basis of occlusion of both basal veins of Rosenthal. This diagnosis relies on anatomical location and iconographic aspect of the clots. Evidence that this vessel is occluded cannot be ascertained from ultrasound or MR angiographic techniques in the neonatal period. The basal vein has not been implicated in previous reports of neonatal brain haemorrhage.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.238
Teacher spread0.225 · 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 designCase report
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

Citations10
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueDevelopmental Medicine & Child NeurologySame topicNeonatal and fetal brain pathologyFrench-language works237,207