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Record W1753217150 · doi:10.1186/ar1420

Distinct lymphocyte subpopulations in bone marrow from rheumatoid arthritis and osteoarthritis patients: a role for IL-15?

2004· article· en· W1753217150 on OpenAlexfundno aff
Włodzimierz Maśliński, Ewa Kuca‐Warnawin, Tomasz Burakowski, Lawrence Jung, Paweł Małdyk

Bibliographic record

VenueArthritis Research · 2004
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsnot available
FundersCanadian Arthritis NetworkSchool of Medicine, University of California, San DiegoMenzies Institute for Medical ResearchNational Cancer InstituteArthritis SocietyUniversity of North Carolina at Chapel HillGenentechNational Institutes of HealthBiogenLupus Research InstitutePfizerNatural Sciences and Engineering Research Council of CanadaDutch Arthritis AssociationOesterreichische NationalbankDeutsche ForschungsgemeinschaftNuffield FoundationPhysiotherapy Foundation of CanadaCanadian Institutes of Health ResearchNational Institute of Arthritis and Musculoskeletal and Skin DiseasesLupus Research AllianceWellcome TrustNewcastle UniversityNational Institute of Allergy and Infectious DiseasesHoward Hughes Medical InstituteAustrian Science FundArthritis Foundation
KeywordsComputer science

Abstract

fetched live from OpenAlex

Recent data indicate that bone marrow plays an important role not only as a primary lymphoid organ responsible for haemopoiesis, but also as a secondary lymphoid organ with capability of antigen presentation exceeding that of lymph nodes. Although in chronic inflammatory/immune disease, like rheumatoid arthritis (RA), bone marrow participates in the initiation and/or perpetuation of the disease, there is little information about the real number of lymphocyte subpopulations in bone marrow of these patients and how they can be modulated by T-cell growth factors. IL-15 acting through IL-15 receptors (including the high-affinity IL-15R alpha chain) is a key cytokine influencing the development of natural killer cells in bone marrow, and proliferation and maintenance of the memory T-cell pool. However, there is no information about the levels of IL-15 in bone marrow.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.892
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.269
Teacher spread0.253 · 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 designOther design
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

Citations0
Published2004
Admission routes1
Has abstractyes

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