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Record W4391840217 · doi:10.3899/jrheum.2023-1079

Seasonal Effects on Relapse of Antineutrophil Cytoplasmic Antibody–Associated Vasculitis: A Retrospective Multicenter Cohort Study in Japan (J-CANVAS)

2024· letter· en· W4391840217 on OpenAlexvenueno aff
Hiroki Kobayashi, Yusuke Yoshida, Takashi Kida, Nobuyuki Yajima, Toshiko Ito‐Ihara, Takashi Kawaguchi, Yutaka Kawahito, Shintaro Hirata

Bibliographic record

VenueThe Journal of Rheumatology · 2024
Typeletter
Languageen
FieldMedicine
TopicCoagulation, Bradykinin, Polyphosphates, and Angioedema
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVasculitisAnti-neutrophil cytoplasmic antibodyRetrospective cohort studyCohortInternal medicineDisease

Abstract

fetched live from OpenAlex

Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a type of systemic vasculitis characterized by autoantibody development against the neutrophil proteins leukocyte proteinase 3 (PR3)-ANCA and myeloperoxidase (MPO)-ANCA. We previously reported that newly developed AAV in Japan was influenced by seasonal variations and that AAV was less frequently observed in autumn.1

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.266
Teacher spread0.257 · 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 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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

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