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Record W4399848609 · doi:10.37766/inplasy2024.6.0078

Pelvic floor dysfunctions in women military personnel and veterans: A scoping review

2024· review· en· W4399848609 on OpenAlexaff
Chris M. Edwards, Marie-Élisabeth Bouchard, Matt Fossey, Kelly Debouter, Megan Donovan, Lauren Godier‐McBard, Layoma Gray, Claire Hooks, Kate Hill MacEachern, Sara Rodrigues, Ariana Sams, Le-Mai Tu, Mélanie Morin

Bibliographic record

Venuenot available
Typereview
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsUniversité de SherbrookeDepartment of National Defence
Fundersnot available
KeywordsMilitary personnelPelvic floorPsychologyPhysical therapyApplied psychologyMedicineAeronauticsMedical educationEngineeringPolitical scienceSurgery

Abstract

fetched live from OpenAlex

Other relevant information GBA+ statement -This study aims to map the evidence regarding conditions affecting the female pelvic floor.This review will target adults with no maximal age limit, of all races, indigeneity, and family status.Studies investigating individuals with a female biological sex regardless of their gender identity and sexual orientation will be included.The term "women" is used throughout the text for the sake of conciseness.However, our review aims to be inclusive considering the non-binary aspect of gender identity and sexual orientation.We aim to collect all relevant data about PFDs, sex, and gender to enrich the interpretation of the findings.

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)0.003
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0080.008
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.046
GPT teacher head0.361
Teacher spread0.314 · 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 designSystematic review
Domainnot available
GenreReview

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 routes1
Has abstractyes

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