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Record W4303415497 · doi:10.3389/fendo.2022.1030353

Editorial: Polycystic ovary syndrome (PCOS): Mechanism and management

2022· editorial· en· W4303415497 on OpenAlexaff
Yishu Wang, Peter C. K. Leung, Rong Li, Yanting Wu, Hefeng Huang

Bibliographic record

VenueFrontiers in Endocrinology · 2022
Typeeditorial
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsUniversity of British ColumbiaBC Children's Hospital
FundersNational Natural Science Foundation of ChinaNational Key Research and Development Program of ChinaShanghai Municipal Health Commission
KeywordsPolycystic ovaryMechanism (biology)MedicineOvaryGynecologyBiologyBioinformaticsEndocrinologyInsulin resistanceInsulinPhilosophy

Abstract

fetched live from OpenAlex

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women of reproductive age with a reported prevalence ranging from 6% to 20% (1). In 2004, the economic impact of evaluating and providing care to persons with PCOS during the reproductive life span is $4.36 billion in the United States alone, even regardless of the cost of the increased risk of obstetrical and metabolic complications (2). The syndrome has severely impaired reproductive health and has already been a heavy health care-related economic burden. Unfortunately, our knowledge of PCOS remains limited. This Research Topic addresses a more nuanced picture of the pathophysiology and clinical investigations, as well as the management of PCOS.

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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.010
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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.236
Teacher spread0.230 · 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
GenreEditorial

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

Citations12
Published2022
Admission routes1
Has abstractyes

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