Dr. Yoshida et al reply
Bibliographic record
Abstract
To the Editor: We appreciate the insightful comments of Wang and Liu1 on our study, which investigated seasonal influence on the relapse of antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) using data from a multicenter cohort of patients with AAV (J-CANVAS).2 Here, we would like to respond to the 3 concerns raised. The first concern was regarding inconsistent results of previous studies on the association between seasonal variation and AAV occurrence. We concur with the opinion that AAV occurrence is not solely attributed to seasonal changes and, thus, when comparing the results of seasonality between studies, we need to pay attention to geographic locations of the enrolled patients. This is because climate varies by region, even within countries. In addition, the … Address correspondence to Dr. Y. Yoshida, Department of Clinical Immunology and Rheumatology, Hiroshima University Hospital, 1-2-3 Kasumi, Minami, Hiroshima 734-8551, Japan. Email: fisher37{at}hiroshima-u.ac.jp.
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".