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Record W2324975820 · doi:10.1097/bpb.0000000000000305

Iliac wing osteotomy for the closure of pelvis in the treatment of bladder exstrophy in the neonate

2016· article· en· W2324975820 on OpenAlexaff
Colby Oitment, Anthony Bozzo, Patrick Thornley, Brahman Sivakumar

Bibliographic record

VenueJournal of Pediatric Orthopaedics B · 2016
Typearticle
Languageen
FieldMedicine
TopicUrological Disorders and Treatments
Canadian institutionsMcMaster University
FundersCore Research for Evolutional Science and Technology
KeywordsMedicineDiastasisPelvisBladder exstrophySurgerySymphysisPubic symphysisOsteotomyReduction (mathematics)

Abstract

fetched live from OpenAlex

Classic bladder exstrophy is a rare disorder involving an externalized bladder through an associated pelvic diastasis. Difficulty of closure of pelvic diastasis is often encountered following urological reconstruction. Traditionally, an anterior innominate osteotomy is performed to increase pelvic volume, allowing closure of the rudimentary pubic symphysis and anatomical reduction of pelvic contents; however, this procedure can be technically difficult and has associated morbidity. We describe a novel technique of bilateral iliac wing osteotomies to achieve the same function that has not been described previously in the literature.

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)0.001
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.285
Teacher spread0.258 · 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
Published2016
Admission routes1
Has abstractyes

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