Bibliographic record
Abstract
To the Editor: We read with interest the articles by Dr. Braun-Moscovici, et al 1 and Vacca, et al 2 reporting a strikingly high prevalence of 25-hydroxyvitamin D (25OHD) deficiency in patients with systemic sclerosis (SSc). Their remarkable findings confirm the results of our work, to our knowledge the first controlled study to demonstrate an increased prevalence of hypovitaminosis D in SSc3. The renewed interest in vitamin D in autoimmune diseases gives us the opportunity to show previously unpublished data and make some observations about this issue. Our study comprised 60 patients and 60 matched controls3. 25OHD levels were lower in patients than in controls [median 23 ng/ml (range 3–92) and 39 ng/ml (14–138), respectively; p < 0.001] even after matching for season of sampling. Thirty-eight patients had 25OHD levels below 30 ng/ml; 4 patients fell in the severe deficit range (< 10 ng/ml), 17 in the insufficiency range (≥ 10 and < 20 ng/ml), and 17 in the mild hypovitaminosis range (≥ 20 and < … Address correspondence to Dr. Calzolari; E-mail: gilberto983{at}gmail.com
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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.012 | 0.012 |
| Insufficient payload (model declined to judge) | 0.003 | 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".