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Record W2001790998 · doi:10.1159/000234919

Immunity to Ocular and Collagen Antigens in Childhood Arthritis and Uveitis

2009· article· en· W2001790998 on OpenAlexaff
Ross E. Petty, David W. C. Hunt

Bibliographic record

VenueInternational Archives of Allergy and Applied Immunology · 2009
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsJuvenile rheumatoid arthritisImmunologyUveitisAntigenMedicineAntibodyArthritisType II collagenHumoral immunityUveaEye disease

Abstract

fetched live from OpenAlex

Humoral and cellular immunity to ocular antigens (S antigen and alpha, beta heavy, beta light, and gamma crystallins) and connective tissue antigens (type I, II, III, and IV collagens) were studied in children with juvenile rheumatoid arthritis (JRA) with or without uveitis and in controls. There was no association between the presence of uveitis and antibody to any collagen type or of lymphocyte transformation to type II collagen. Antibodies to all crystallins were more common in children with JRA than in controls, and antibodies to BH crystallins were more frequent in children with JRA and uveitis than in those with JRA alone. Such reactivity did not appear to represent antibody cross-reactive with collagen antigens. Lymphocyte proliferation to alpha crystallin was increased in JRA with or without uveitis, whereas lymphocyte response to S antigen was associated with the presence of uveitis.

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 score0.003
Threshold uncertainty score0.005

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.247
Teacher spread0.240 · 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

Citations10
Published2009
Admission routes1
Has abstractyes

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