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Record W2319851880 · doi:10.1097/spv.0b013e3181cc8433

Case Report of an Appendiceal Vaginal Fistula Following a Mesh Erosion

2010· article· en· W2319851880 on OpenAlexaff
Rainbow Y. T. Tin, Jane Schulz, William Sugars

Bibliographic record

VenueFemale Pelvic Medicine & Reconstructive Surgery · 2010
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsRoyal Alexandra HospitalUniversity of Alberta
Fundersnot available
KeywordsMedicineFistulaAbdominal hysterectomySurgeryHysterectomyGeneral surgeryVagina

Abstract

fetched live from OpenAlex

In Brief This is the description of a 66-year-old woman, who had total abdominal hysterectomy and abdominal colposacropexy with mesh. Two and a half years later, she presented with infected mesh which was excised and then she developed an appendiceal vaginal fistula. This is the description of a 66-year-old woman, who had total abdominal hysterectomy and abdominal colposacropexy with mesh. Two and a half years later, she presented with infected mesh which was excised and then she developed an appendiceal vaginal fistula.

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0050.003
Scholarly communication0.0030.004
Open science0.0020.003
Research integrity0.0120.007
Insufficient payload (model declined to judge)0.0030.002

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 head0.298
Teacher spread0.272 · 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 designCase report
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

Citations1
Published2010
Admission routes1
Has abstractyes

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