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Record W2907367966 · doi:10.3899/jrheum.180735

Predictive Value of Musculoskeletal Ultrasound for Flares in Juvenile Idiopathic Arthritis

2019· letter· en· W2907367966 on OpenAlexaffvenue
Johannes Roth

Bibliographic record

VenueThe Journal of Rheumatology · 2019
Typeletter
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicineJuvenileArthritisPredictive valueValue (mathematics)UltrasoundPhysical therapyInternal medicineRadiologyStatistics

Abstract

fetched live from OpenAlex

I have read with great interest the recent publication by Zhao, et al 1 on the predictive value of musculoskeletal ultrasound for flares of patients with juvenile idiopathic arthritis that is clinically inactive. Based on their evaluation, the authors suggest that the positive predictive value (PPV) of ultrasound (US) findings for clinical flares is very low at 12% and that a second US had even less PPV. The authors describe that synovitis on US was assessed through B-mode, identifying effusion and synovial hypertrophy as well as Doppler US. Looking at their results and one table in particular, it is nevertheless striking that 11 wrist joints were considered abnormal on US with all … Address correspondence to Dr. J. Roth. E-mail: jroth{at}cheo.on.ca

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)0.001
metaresearch head score (Gemma)0.014
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0030.002

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 head0.012
GPT teacher head0.279
Teacher spread0.267 · 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
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

Citations7
Published2019
Admission routes2
Has abstractyes

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