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Record W1846440381 · doi:10.1002/pd.4437

Urgent need for better education: example of maternal dyspnea in a twin pregnancy

2014· article· en· W1846440381 on OpenAlexaff
David Baud, Tim Van Mieghem, Rory Windrim, Luigi Raio, Johannes Keunen, Greg Ryan

Bibliographic record

VenuePrenatal Diagnosis · 2014
Typearticle
Languageen
FieldMedicine
TopicAssisted Reproductive Technology and Twin Pregnancy
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicineCulpritTwin-to-twin transfusion syndromeMonochorionic twinsPregnancyObstetricsFetoscopyTwin PregnancyAnastomosisFetusIntensive care medicinePrenatal diagnosisSurgeryCardiology

Abstract

fetched live from OpenAlex

What's already known about this topic? Monochorionic pregnancies are 1/200 pregnancies, one in seven of whom will develop twin–twin transfusion syndrome (TTTS) TTTS is usually lethal to both twins if untreated. Timely fetoscopic laser ablation of the ‘culprit’ placental anastomoses is curative What does this study add? Surveillance is the chorionicity diagnosis early and q2 weekly ultrasounds until delivery Refer urgently to an appropriate fetal medicine unit if discordant fluid volumes or Dopplers

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)0.000
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 score0.203
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.020
GPT teacher head0.275
Teacher spread0.255 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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