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Record W4413418054 · doi:10.58931/cwht.2025.2123

Analgesia For Office Gynecology

2025· article· en· W4413418054 on OpenAlexaff
Anna Gryn, Abi Kirubarajan, Mara Sobel

Bibliographic record

VenueCanadian Women s Health Today · 2025
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsMcMaster UniversityMount Sinai Hospital
Fundersnot available
KeywordsMedicineEndometrial biopsyUterine bleedingEndometrial hyperplasiaGynecologyEndometrial cancerBiopsyObstetricsObstetrics and gynaecologyGeneral surgeryEndometriumPregnancyCancerInternal medicine

Abstract

fetched live from OpenAlex

Intrauterine device (IUD) insertion and endometrial biopsy are two common and essential procedures routinely performed in office-based gynecology. IUDs offer highly effective contraception and also serve as important treatments for dysmenorrhea, abnormal uterine bleeding, and endometrial hyperplasia or cancer. Endometrial biopsy remains a first-line diagnostic tool for evaluating abnormal uterine bleeding. Despite their utility, both procedures are often associated with moderate to severe pain, which can discourage patients from pursuing them. As patient comfort becomes an increasing priority for both patients and providers, clinicians should become familiar with the effective analgesic strategies available in this setting.

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)0.001
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.150
Threshold uncertainty score0.503

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1500.034

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 head0.015
GPT teacher head0.315
Teacher spread0.299 · 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
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
Published2025
Admission routes1
Has abstractyes

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