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Record W2404172266 · doi:10.1017/9781108163705

Respiratory Disease in Pregnancy

2020· book· en· W2404172266 on OpenAlexaff
Stephen E. Lapinsky

Bibliographic record

VenueCambridge University Press eBooks · 2020
Typebook
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsComputer sciencePregnancyMedicineInformation retrievalBiology

Abstract

fetched live from OpenAlex

Respiratory diseases affect a large proportion of the population and can cause complications when associated with pregnancy. Pregnancy induces profound anatomical and functional physiological changes in the mother, and subjects the mother to pregnancy-specific respiratory conditions. Reviewing respiratory conditions both specific and non-specific to pregnancy, the book also addresses related issues such as smoking and mechanical ventilation. Basic concepts for the obstetrician are covered, including patient history, physiology and initial examinations. Topics such as physiological changes during pregnancy and placental gas exchange are discussed for the non-obstetrician. Guidance is practical, covering antenatal and post-partum care, as well as management in the delivery suite. An essential guide to respiratory diseases in pregnancy, this book is indispensable to both obstetricians and non-obstetric physicians managing pregnant patients.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.027
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0270.012

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 head0.063
GPT teacher head0.297
Teacher spread0.233 · 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 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

Citations7
Published2020
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooks→Same topicNeonatal Respiratory Health Research→French-language works237,207→