Bibliographic record
Abstract
To the Editor: We appreciate our Italian colleagues’ interest in our editorial denoting the rheumatologist’s role in helping to diagnose and treat cytokine storm syndrome (CSS) in the setting of the coronavirus disease 2019 (COVID-19) pandemic1. It is encouraging that none of the 123 pediatric rheumatology patients (primarily juvenile idiopathic arthritis) treated with background biological disease-modifying antirheumatic drug (bDMARD) therapies in Milan, Italy, surveyed over a 7-week period from February 25 through April 14, 2020 (during which time COVID-19 was hyperendemic there), had either confirmed or suspected COVID-192. Moreover, 67% of this cohort were concomitantly taking conventional DMARD (e.g., methotrexate), and 5% were taking systemic corticosteroids2. This lack of symptomatic infection with SARS-CoV-2 (viral etiology … Address correspondence to Dr. R.Q. Cron, Children’s of Alabama, Division of Rheumatology, 1600 7th Ave. S., CPPN, Suite G10, Birmingham, AL 35233-1711, USA. E-mail: rcron{at}peds.uab.edu.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".