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Longer duration to optimal endometrial thickness in women with premature ovarian insufficiency is associated with clinical pregnancy rate in donor egg cycles

2024· letter· en· W4400259758 on OpenAlexaffabout
Trish Dinh, Qixuan Li, Ella Huszti, N. Ja'Neice Harris, Jennia Michaeli, Kimberly Liu

Bibliographic record

VenueFertility and Sterility · 2024
Typeletter
Languageen
FieldMedicine
TopicOvarian function and disorders
Canadian institutionsUniversity Health NetworkUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsPregnancyMedicineLive birthGynecologyEndometriumPremature ovarian failureEmbryo transferPregnancy ratePremature ovarian insufficiencyObstetricsFertility preservationAssisted reproductive technologyLuteal phaseFertilityInfertilityPopulationFollicular phaseBiologyInternal medicine

Abstract

fetched live from OpenAlex

Patients with premature ovarian insufficiency (POI) require programmed cycles for endometrial preparation in donor egg embryo transfers (ET). Studies suggest that endometrial thickness (EMT) is correlated with pregnancy outcomes; however, these patients are at risk of thin endometrium (1). Our aim was to investigate whether patients with POI need extended endometrial stimulation and its impact on pregnancy outcomes.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.290
Teacher spread0.260 · 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 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

Citations0
Published2024
Admission routes2
Has abstractyes

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