MétaCan
Menu
Back to cohort
Record W2010529654 · doi:10.1159/000092995

Penile Zipper Injury

2006· article· en· W2010529654 on OpenAlexaff
Tatsuo Nakagawa, Allan G. Toguri

Bibliographic record

VenueMedical Principles and Practice · 2006
Typearticle
Languageen
FieldMedicine
TopicGenital Health and Disease
Canadian institutionsThe Scarborough Hospital
Fundersnot available
KeywordsZipperForeskinMedicineATF3Presentation (obstetrics)SurgeryAlgorithm

Abstract

fetched live from OpenAlex

OBJECTIVE: To report 2 cases with pediatric penile trauma due to penile zipper injury. CLINICAL PRESENTATION AND INTERVENTION: Two boys presented to the emergency service because of penile zipper injury. The zipper was cut away and removed from the foreskin by cutting the median bar of the sliding piece of the zipper and the zipper teeth with a bone cutter. After opening the zipper teeth, the zipper fell apart, which allowed its removal from their foreskin. There was minimal trauma to the foreskin and the boys were sent home on the same day. CONCLUSION: Penile entrapment in a zipper is a presentation that may be seen in any emergency department. The 2 boys were treated successfully by cutting the median bar of the sliding piece of the zipper.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.025
GPT teacher head0.350
Teacher spread0.325 · 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

Citations16
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueMedical Principles and PracticeSame topicGenital Health and DiseaseFrench-language works237,207