MétaCan
Menu
Back to cohort

Hypertensive Disorders of Pregnancy

2017· article· en· W2616393525 on OpenAlex
Ana Sjaus, Dolores M. McKeen, Ronald B. George

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueObstetric Anesthesia Digest · 2017
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsMedicinePregnancyProteinuriaObstetricsMaternal morbidityIntensive care medicinePediatricsInternal medicine

Abstract

fetched live from OpenAlex

( Can J Anaesth. 2016 ;63(9):1075–1097) Failure of timely diagnosis and treatment of hypertensive disorders of pregnancy (HDP) contributes significantly to maternal and neonatal morbidities such as neurological complications, pulmonary edema, postpartum hemorrhage; neonatal respiratory and neurological complications and stillbirth. HDP affects 3% to 8% of all pregnancies and special attention to its diagnosis and treatment is needed to curb maternal and neonatal mortality and morbidity. Hypertension without proteinuria, as well as preexisting hypertension, has been occurring more frequently, specifically in older pregnant women. In Canada, the maternal and infant mortality rates have been controlled with improved medical care to women. The Society of Obstetricians and Gynaecologists of Canada (SOGC) guidelines on the classification, clinical features, laboratory investigations, diagnosis, and care of HDP, which are outlined in this article and emphasize a multidepartmental team including anesthesiologists, enhance the quality of medical care. The guidelines were published in 2008 and revised in 2014.

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.

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)0.001
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 score0.243
Threshold uncertainty score0.598

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.024
GPT teacher head0.259
Teacher spread0.235 · 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