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2019 European League Against Rheumatism/American College of Rheumatology classification criteria for systemic lupus erythematosus

2019· review· en· W2966041078 on OpenAlexaff
Martin Aringer, Karen H. Costenbader, David Daikh, Ralph Brinks, Marta Mosca, Rosalind Ramsey‐Goldman, Josef S Smolen, David Wofsy, Dimitrios T. Boumpas, Diane L. Kamen, David Jayne, Ricard Cervera, N. Costedoat‐Chalumeau, Betty Diamond, Dafna D. Gladman, Bevra Hahn, Falk Hiepe, Søren Jacobsen, Dinesh Khanna, Kirsten Lerstrøm, Elena Massarotti, Joseph M. McCune, Guillermo Ruiz‐Irastorza, Jorge Sánchez‐Guerrero, Matthias Schneider, Murray B. Urowitz, George Βertsias, Bimba F. Hoyer, Nicolai Leuchten, Chiara Tani, Sara K. Tedeschi, Zahi Touma, Gabriela Schmajuk, Branimir Anić, Florence Assan, Tak Mao Chan, Ann E. Clarke, Mary K. Crow, László Czirják, Andrea Doria, W. Graninger, Bernadett Halda-Kiss, Sarfaraz Hasni, Peter Izmirly, Michelle Jung, Gabór Kumánovics, Xavier Mariette, Ivan Padjen, José María Pego‐Reigosa, Juanita Romero‐Díaz, Íñigo Rúa‐Figueroa Fernández, Raphaèle Séror, Georg Stummvoll, Yoshiya Tanaka, Maria G. Tektonidou, Carlos Vasconcelos, Edward M Vital, Daniel J. Wallace, Şule Yavuz, Pier Luigi Meroni, Marvin J. Fritzler, Ray Naden, Thomas Dörner, Sindhu R. Johnson

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2019
Typereview
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsInstitute of Health Services and Policy ResearchMcMaster UniversityUniversity of CalgaryToronto Western HospitalUniversity of TorontoUniversity Health NetworkMount Sinai Hospital
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institutes of HealthEuropean League Against RheumatismAcademy of Medical SciencesMedical Research CouncilNational Institute for Health and Care Research
KeywordsMedicineRheumatismRheumatologyLeagueInternal medicineDermatologyFamily medicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0090.005
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0180.007

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 head0.122
GPT teacher head0.395
Teacher spread0.273 · 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
GenreReview

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

Citations1,504
Published2019
Admission routes1
Has abstractno

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