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P96Abnormal trajectory of the anterior cerebral artery. A key finding to the diagnosis of the fetal lobar holoprosencephaly

2000· article· en· W1985870620 on OpenAlexfundno aff
Patrick Zaarour, J. P. Bernard, Marie‐Victoire Sénat, B. De Keersmaecker, M. Molho, Y. Ville

Bibliographic record

VenueUltrasound in Obstetrics and Gynecology · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHedgehog Signaling Pathway Studies
Canadian institutionsnot available
FundersUniversity Health Network
KeywordsHoloprosencephalyMedicineAnterior cerebral arteryDifferential diagnosisCerebral angiographyAnatomyRadiologyMiddle cerebral arteryAngiographyFetusPathologyPregnancyCardiologyIschemia

Abstract

fetched live from OpenAlex

Background The prenatal diagnosis of alobar and semi lobar holoprosencephaly is accesible in routine ultrasound. In contrast the diagnosis of lobar holoprosencephaly is still difficult. Prenataly differential diagnosis of lobar holoprosencephaly with septal defects is important for counseling. Case report We describe the shape and trajectory by color Doppler of the anterior cerebral artery in a case of lobar holoprosencephaly. Results The anterior cerebral artery runs under the frontal bones and is a key to the diagnosis of fusion of the two frontal gyri. This has already been described on angiography in children with holoprosencephaly Conclusion This aspect in color Doppler of the anterior cerebral artery is particularly useful in the difficult diagnosis of lobar holoprosencephaly

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 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)0.005
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 score0.024
Threshold uncertainty score0.623

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.005
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 head0.011
GPT teacher head0.228
Teacher spread0.218 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2000
Admission routes1
Has abstractyes

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