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Record W2125568549 · doi:10.3899/jrheum.141135

Interleukin-34: A Potential Diagnostic and Therapeutic Target for Rheumatoid Arthritis

2015· letter· en· W2125568549 on OpenAlexvenueno aff
Wei He, Xiao-Di Xu, YI-MAN DONG, Hua Wu

Bibliographic record

VenueThe Journal of Rheumatology · 2015
Typeletter
Languageen
FieldMedicine
TopicCytokine Signaling Pathways and Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRheumatoid arthritisRheumatologyAnkylosing spondylitisInternal medicineRheumatoid factor

Abstract

fetched live from OpenAlex

To the Editor: Recently, we read with great interest the article titled “Increased Levels of Interleukin 34 in Serum and Synovial Fluid Are Associated with Rheumatoid Factor and Anticyclic Citrullinated Peptide Antibody Titers in Patients with Rheumatoid Arthritis,” published in The Journal of Rheumatology 1, showing that serum levels of interleukin 34 (IL-34) were positively correlated with rheumatoid factor (RF) and anticyclic citrullinated peptide antibody (anti-CCP) titers, but not with systemic osteoporosis and radiographic joint damage in rheumatoid arthritis (RA). Further, IL-34 levels were significantly increased in the serum of patients with RA (p < 0.001) or ankylosing spondylitis (p < 0.001) compared with controls2. These studies … Address correspondence to Dr. H. Wu, Department of Pharmacy, Binhu Hospital of Hefei City, The Third Affiliated Hospital of Anhui Medical University, 230001, Hefei, Anhui Province, China. E-mail: wuhuaedu{at}163.com

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: none
Teacher disagreement score0.620
Threshold uncertainty score0.812

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.271
Teacher spread0.250 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations4
Published2015
Admission routes1
Has abstractyes

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