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Record W2754431064 · doi:10.1002/uog.18532

EP14.16: Doppler changes and management in late onset IUGR

2017· article· en· W2754431064 on OpenAlexaff
Titilayo Oluyomi-Obi

Bibliographic record

VenueUltrasound in Obstetrics and Gynecology · 2017
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicinePlacental insufficiencyFetusObstetricsGestationUmbilical arteryPregnancyPediatricsPlacenta

Abstract

fetched live from OpenAlex

Results:1.The percentage of fetal with malformation as classified by ultrasound imaging was 1.95% in early pregnancy(11-13 +6 weeks gestation) and 1.99% in mid-pregnancy(14-18 weeks gestation).2. The top four rate of fetal malformation in early and Mid-pregnancy were: multi-system malformation >central nervous system malformation > small malformation > hygroma in the neck and back(P<0.05,=),respectively.3. The detection rate of chromosomal abnormalities in deformed fetus was 34.7% for early pregnancy and Mid-pregnancy, however, there were no significant difference in each system (P> 0.05).4. The rate of induced labour was 90% for fetal malformation in early pregnancy, and 88.5% in mid-pregnancy..

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.027
GPT teacher head0.285
Teacher spread0.258 · 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 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
Published2017
Admission routes1
Has abstractyes

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