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Record W2131234360 · doi:10.1177/000992280304200408

Vertebral Fractures in Boys with Duchenne Muscular Dystrophy

2003· article· en· W2131234360 on OpenAlexaff
Janice Bothwell, Kevin Gordon, Joseph M. Dooley, J. Mac Sween, Elizabeth Cummings, Sonia Salisbury

Bibliographic record

VenueClinical Pediatrics · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective tissue disorders research
Canadian institutionsIzaak Walton Killam Health Centre
Fundersnot available
KeywordsMedicineDuchenne muscular dystrophyOsteoporosisIncidence (geometry)Muscular dystrophySurgeryPediatricsInternal medicine

Abstract

fetched live from OpenAlex

Osteoporosis causes significant morbidity for boys with Duchenne muscular dystrophy. Corticosteroid therapy given to prolong mobility may increase the rate of osteoporosis and risk of fracture. This study of 33 boys with Duchenne muscular dystrophy determined retrospectively the incidence of vertebral fractures particularly after initiation of corticosteroids. A latency period of 40 months after commencement of steroids occurred before the first vertebral fracture appeared. However, by 100 months of treatment approximately 75% had sustained a vertebral fracture.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.352
Teacher spread0.332 · 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 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

Citations115
Published2003
Admission routes1
Has abstractyes

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