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Record W2315539516 · doi:10.3899/jrheum.140738

Calcinosis and Rapidly Destructive Arthropathy Associated with Anti-Jo1 Antibody

2015· article· en· W2315539516 on OpenAlexvenueno aff
Lit Hiang Lee, A Srikanth, Anindya Gupta

Bibliographic record

VenueThe Journal of Rheumatology · 2015
Typearticle
Languageen
FieldMedicine
TopicInflammatory Myopathies and Dermatomyositis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineArthropathyRheumatologyElbowCalcinosisChondrocalcinosisArthritisInternal medicineDermatologySurgeryPathologyOsteoarthritisCalcification

Abstract

fetched live from OpenAlex

We report here a rare case of marked calcinosis and rapidly destructive arthropathy associated with anti-Jo1 antibody.A 74-year-old white woman presented to the rheumatology clinic in 2008 with a 5-year history of polyarthralgia affecting her left hip, right elbow, left shoulder, and hands.Hand and elbow radiographs (Figure 1) showed destructive arthropathy thought to be attributable to severe erosive osteoarthritis or crystal arthritis.Repeat radiographs in 2010 showed extensive periarticular calcinosis and complete destruction of the right elbow joint.Similar changes were noted on the repeat hand radiograph in 2012 (Figure 2).Immunological profile revealed strongly positive antinuclear antibody in a nucleolar pattern and anti-Jo1 antibody.Muscle biopsy showed numerous atrophic fibers, but no active inflam-

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)0.004
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.261
Teacher spread0.247 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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