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Record W4293240725 · doi:10.1136/ard-2022-222487

Remission and low disease activity (LDA) prevent damage accrual in patients with systemic lupus erythematosus: results from the Systemic Lupus International Collaborating Clinics (SLICC) inception cohort

2022· article· en· W4293240725 on OpenAlexafffund
Manuel F. Ugarte‐Gil, John G. Hanly, Murray B. Urowitz, Caroline Gordon, Sang‐Cheol Bae, Juanita Romero‐Díaz, Jorge Sánchez‐Guerrero, Sasha Bernatsky, Ann E. Clarke, Daniel J. Wallace, David Isenberg, Anisur Rahman, Joan T. Merrill, Paul R. Fortin, Dafna D. Gladman, Ian N Bruce, Michelle Petri, Ellen M. Ginzler, Mary Anne Dooley, Rosalind Ramsey‐Goldman, Susan Manzi, Andreas Jönsen, Ronald van Vollenhoven, Cynthia Aranow, Meggan Mackay, Guillermo Ruiz‐Irastorza, Sam Lim, Murat İnanç, Kenneth Kalunian, Søren Jacobsen, Christine Peschken, Diane L. Kamen, Anca Askanase, Bernardo A. Pons‐Estel, Graciela S. Alarcón

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2022
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsUniversity of CalgaryMcGill UniversitySinai Health SystemDalhousie UniversityUniversity Health NetworkUniversity of TorontoUniversité LavalQueen Elizabeth II Health Sciences CentreUniversity of ManitobaToronto Western Hospital
FundersNational Center for Chronic Disease Prevention and Health PromotionCenters for Disease Control and PreventionNational Institutes of HealthNational Center for Research ResourcesLUPUS UKVersus ArthritisNovo Nordisk FondenNational Center for Advancing Translational SciencesNational Research Foundation of KoreaEli Lilly and CompanyEusko JaurlaritzaAmgenNational Research FoundationWellcome TrustUniversity College LondonNovo NordiskNational Institute for Health and Care ResearchArthritis SocietyNational Institute of Arthritis and Musculoskeletal and Skin DiseasesSanofiLupus Research AllianceSandwell and West Birmingham Hospitals NHS TrustUniversidad Científica del SurUniversity of CalgaryGigtforeningenArthritis Research UKGlaxoSmithKlineJohns Hopkins UniversityPfizerBristol-Myers SquibbAstraZenecaUniversité Laval
KeywordsMedicineSystemic lupusSystemic lupus erythematosusCohortDiseaseSystemic diseaseAccrualInternal medicineImmunology

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 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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.050
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.023
GPT teacher head0.303
Teacher spread0.281 · 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 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

Citations56
Published2022
Admission routes2
Has abstractno

Explore more

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