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Record W4220948301 · doi:10.1080/00085030.2022.2051326

Misdiagnosis of a primary vaginal stone leading to a suspicion of sexual assault in a heavily disabled woman

2022· article· en· W4220948301 on OpenAlexvenueno aff
Anja Kerschen, Selda Aydın, Étienne Marbaix, Vincent Gérin, Vincent Haufroid, Michel Daudon, Jessica Vanhaebost

Bibliographic record

VenueCanadian Society of Forensic Science Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicUreteral procedures and complications
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVaginaSexual assaultEmergency departmentDistressRespiratory distressGeneral surgeryPsychiatryMedical emergencySurgeryPoison controlInjury prevention

Abstract

fetched live from OpenAlex

A 26-year-old heavily disabled woman was admitted through the emergency department after presenting signs of respiratory distress. A pear-shaped object present in the vagina was discovered unexpectedly on a full-body CT-scan. Sexual assault was suspected and the case was subsequently reported to the authorities. The office of the forensic medical examiner was notified to further investigate the case. The vaginal object of unknown origin was sent to the pathology department, where it was identified as being a primary vaginal stone and the hypothesis of a sexual assault could be excluded. The aim of this case report is to raise awareness amongst clinicians and forensic medical examiners about the existence of vaginal stones, especially in female patients suffering from disabilities, incontinence and recurrent infections of the pelvic area. The presence of a foreign body can be suspicious of sexual assault in certain settings, but physicians as well as medical examiners need to be careful while interpreting lesions in order to protect patients from unnecessary investigations that can be traumatic such as sexual assault kits.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.641
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.026
GPT teacher head0.287
Teacher spread0.261 · 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.

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
Published2022
Admission routes1
Has abstractyes

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