Case of Giant Cell Arteritis After SARS-CoV-2 Vaccination: A Particular Phenotype?
Bibliographic record
Abstract
To the Editor: We read with great interest the article by Mehta et al about the similarities and discriminators between giant cell arteritis (GCA) and the coronavirus disease 2019 (COVID-19).1 Viruses have been suspected to be implicated in the pathogenesis of GCA, especially the varicella zoster virus,2 but a clear association has not been confirmed.3 No connection between SARS-CoV-2 and GCA has been established as yet, but an increased number of GCA diagnoses was reported during the COVID-19 pandemic.4 Cases of GCA or polymyalgia rheumatica after influenza … Address correspondence Dr. L. Trefond, Médecine Interne, CHU Gabriel Montpied, 58, rue Montalembert 63000 Clermont Ferrand, France. Email: ludovic.trefond{at}chu-clermontferrrand.fr.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.019 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".