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Record W4407593550 · doi:10.3899/jrheum.2024-1233

Enhancing Genetic Studies on Rheumatic Diseases in Latin America: The IARGE-RD Initiative

2025· article· en· W4407593550 on OpenAlexvenueno aff
Josefina Durán, Bernardo A. Pons‐Estel, Marta E. Alarcón‐Riquelme, Roberto Díaz‐Peña

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsnot available
FundersInstituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de MéxicoUniversidad Militar Nueva GranadaUniversidade de Santiago de CompostelaUniversidad de ChileServicio Gallego de SaludInstituto de Salud Carlos IIIUniversidad Nacional Autónoma de MéxicoUniversidad de GuadalajaraUniversidad de Costa RicaUniversidad El BosqueUniversidade Federal do Rio Grande do SulUniversidad de ValparaísoUniversidad de TalcaUniversidad Autónoma de Nuevo LeónHospital de Clínicas de Porto AlegreInstituto de Investigación Sanitaria de Santiago de Compostela
KeywordsMedicineLatin AmericansFamily medicinePhysical therapy

Abstract

fetched live from OpenAlex

Rheumatic diseases (RDs) encompass a diverse group of systemic inflammatory conditions of autoimmune origin. These diseases, such as rheumatoid arthritis (RA), spondyloarthritis (SpA), and connective tissue diseases, affect millions of people globally. They significantly reduce quality of life and can lead to severe disability and premature death.

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)0.041
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.041
Threshold uncertainty score0.216

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0410.029
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.296
Teacher spread0.279 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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