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Record W2405839685 · doi:10.1017/cbo9781139680790.005

Fetal surveillance in labour

2011· book-chapter· en· W2405839685 on OpenAlexaff
Thomas F. Baskett, Sabaratnam Arulkumaran

Bibliographic record

VenueCambridge University Press eBooks · 2011
Typebook-chapter
Languageen
FieldMedicine
TopicAutopsy Techniques and Outcomes
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineFetal monitoringOfficerIncidence (geometry)ObstetricsFetal deathPerinatal mortalityFetusNeonatal deathPediatricsPregnancyLawPolitical science

Abstract

fetched live from OpenAlex

In his 2007 annual report, the Chief Medical Officer of England expressed his concern about the static perinatal mortality rate in the UK over 7 years. He highlighted the issue of intrapartum deaths in a chapter titled ‘Intrapartum-Related Deaths: 500 Missed Opportunities’. These were cases where the fetus was alive on admission but died during labour. The incidence of intrapartum deaths has declined compared with 1995, when the fourth annual report of the Confidential Enquiry into Stillbirths and Deaths in Infancy reported intrapartum death in 1/1600 fetuses weighing more than 1500 g with no chromosomal or congenital malformation. However, the factors that contributed to these deaths have not changed: inability to interpret the cardiotocograph (CTG) trace, failure to incorporate the ‘clinical picture’, delay in taking action and poor teamwork.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.221
Teacher spread0.196 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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