MétaCan
Menu
← Back to cohort
Record W4308173051 · doi:10.5489/cuaj.8024

Case – An invisible stent

2022· article· en· W4308173051 on OpenAlexaffvenue
Mohamad Baker Berjaoui, Tiange Li, Keith A. Lawson, Michael Kogon

Bibliographic record

VenueCanadian Urological Association Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStentFluoroscopyMedicineRadiologyOpacityRadiodensityRadiographyOptics

Abstract

fetched live from OpenAlex

A 72-year-old male presented for an annual left-sided ureteral stent change. The stent was entirely invisible on fluoroscopy, but interestingly, was completely intact and functioning normally. After cystoscopic retrieval, ex-vivo fluoroscopy demonstrated that this stent was more radiolucent compared to a brand-new stent. A review of serial computed tomography (CT) imaging demonstrated progressive loss of radio-opacity of the stent over time. We theorize that the stent lost its radio-opaque coating due to chronic exposure to urine, suggesting a need for more resilient stent coatings to avoid complications such as forgotten stent syndrome.

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)0.006
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 score0.010
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0040.003
Science and technology studies0.0050.002
Scholarly communication0.0020.002
Open science0.0020.003
Research integrity0.0100.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.254
Teacher spread0.230 · 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
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Urological Association Journal→Same topicKidney Stones and Urolithiasis Treatments→French-language works237,207→