MétaCan
Menu
Back to cohort
Record W4365997907 · doi:10.3899/jrheum.2022-0993

How Is Pulmonary Function Assessed in Patients With Juvenile Systemic Sclerosis? Do We Have a Good Clinical Standard?

2023· letter· en· W4365997907 on OpenAlexvenueno aff
Ivan Foeldvari, Bernd Hinrichs, Kathryn S. Torok, F.J. Rosser, Nicola Helmus

Bibliographic record

VenueThe Journal of Rheumatology · 2023
Typeletter
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePulmonary function testingJuvenileSystemic sclerodermaSystemic diseaseInternal medicineImmunopathologyDisease

Abstract

fetched live from OpenAlex

Juvenile systemic sclerosis (jSSc) is a rare but potentially life-threatening disease, with a prevalence of 3 to 4 in 1,000,000 children. Similar to that in adults,1 interstitial lung disease (ILD) is the major cause of morbidity in children with systemic sclerosis (SSc) and occurs at similar prevalences.2

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)0.012
metaresearch head score (Gemma)0.067
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.013
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.067
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0020.001
Science and technology studies0.0030.003
Scholarly communication0.0040.007
Open science0.0020.001
Research integrity0.0130.015
Insufficient payload (model declined to judge)0.0020.003

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 head0.032
GPT teacher head0.267
Teacher spread0.235 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of RheumatologySame topicSystemic Sclerosis and Related DiseasesFrench-language works237,207