The MRL/lpr Mouse Model: An Important Animal Model for Systemic Sjögren Syndrome and Polyautoimmunity
Bibliographic record
Abstract
To the Editor: We read with great interest the editorial by Mavragani and Moutsopoulos1, questioning the historical classification of Sjögren syndrome (SS) as primary or secondary. Few authors2 have published papers in line with these criticisms, but this editorial was of particular interest to us, because Dr. Moutsopoulos and his team were the ones who coined the concept of secondary SS more than 35 years ago. The authors remind us that it was specifically coined for patients with SS in a rheumatoid arthritis (RA) background, because of the clinical, serological, and genetic differences they observed between SS and SS/RA patients1. The same kind of observations were made only in patients with primary biliary cirrhosis presenting with sicca syndrome1; however, the concept of secondary SS has been improperly expanded to include the other systemic autoimmune diseases, especially systemic lupus erythematosus (SLE). We think that this expansion occurred because SS, especially secondary SS, is … Address correspondence to M. Killian, Groupe Immunité des Muqueuses et Agents Pathogènes, Faculté de Médecine Jacques Lisfranc, Pôle Santé Innovations, 10 rue de la Marandière, 42270 Saint-Priest-en-Jarez, France. E-mail: martin.killian{at}chu-st-etienne.fr
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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 | 0.001 | 0.002 |
| 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".