MétaCan
Menu
Back to cohort
Record W2319328157 · doi:10.3899/jrheum.100255

Erdheim-Chester Disease

2010· article· en· W2319328157 on OpenAlexaffvenue
Yuna Lee, Dawn Pearce

Bibliographic record

VenueThe Journal of Rheumatology · 2010
Typearticle
Languageen
FieldMedicine
TopicHistiocytic Disorders and Treatments
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicineErdheim–Chester diseasePericardiumPituitary stalkPathologyLungDiabetes insipidusMultiple sclerosisDiseaseHistiocytosisSurgeryPituitary glandInternal medicine

Abstract

fetched live from OpenAlex

Erdheim-Chester disease (ECD) is a rare disease that includes sclerosis in the upper and lower extremities and extraskeletal involvement. No standard therapy exists, but interferon-α has helped some patients. The prognosis for patients with this condition is poor. ECD is characterized by a symmetrical sclerosis at the diametaphyseal portions of the upper and lower extremities with additional extraskeletal involvement1 including the kidney and retroperitoneum, lung, pericardium, skin, orbit, and brain. Infiltration of the pituitary stalk may lead to diabetes insipidus2. Skeletal involvement is characteristically bilateral and symmetric, with a characteristic bone scan finding …

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 score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.003

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 head0.009
GPT teacher head0.262
Teacher spread0.253 · 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

Citations0
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueThe Journal of RheumatologySame topicHistiocytic Disorders and TreatmentsFrench-language works237,207