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Record W3107440879 · doi:10.1097/ogx.0000000000000863

Associations Between Polycystic Ovary Syndrome and Adverse Obstetric and Neonatal Outcomes: A Population Study of 9.1 Million Births

2020· article· en· W3107440879 on OpenAlexaff
Ginevra Mills, Ahmad Badeghiesh, Eva Suarthana, Haitham Baghlaf, Michael H. Dahan

Bibliographic record

VenueObstetrical & Gynecological Survey · 2020
Typearticle
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicinePolycystic ovaryHyperandrogenismGestational diabetesObstetricsPreeclampsiaInsulin resistancePregnancyPopulationEndocrine systemGynecologyDiabetes mellitusGestationEndocrinologyHormone

Abstract

fetched live from OpenAlex

(Abstracted from Hum Reprod 2020;35(8):1914–1921) Polycystic ovary syndrome (PCOS) is an endocrine disorder characterized by ovulatory dysfunction, hyperandrogenism, and polycystic ovarian morphology that may be associated with an increased risk of requiring cesarean section (C/S), experiencing preterm delivery (PTD), having small-for-gestational-age (SGA) infants, and undergoing induction of labor. This syndrome is commonly associated with insulin resistance (IR) and is indicated to be independently associated with gestational diabetes mellitus, hypertensive disorders of pregnancy, and preeclampsia.

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)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.065
GPT teacher head0.315
Teacher spread0.249 · 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 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
Published2020
Admission routes1
Has abstractyes

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