Bibliographic record
Abstract
The Kveim-Siltzbach (KS) skin test has been in use worldwide for fifty years. It is a safe, simple and specific out-patient technique to confirm the diagnosis of sarcoidosis and to provide evidence of activity of the disease. It is most helpful in delineating sarcoidosis as a cause of erythema nodosum, uveitis, liver granulomas, hypercalciuria and meningitis. It is the patient's preference when he is confronted with the choice between a skin test or alternatively bronchoscopy, lung biopsy or aspiration liver biopsy. It also creates considerable academic interest for it reflects granuloma formation vividly when viewed by modern immunopathology techniques. Its disadvantage is that it takes a month to provide a result; a critical month in which systemic steroids are avoided for this would suppress the test. The immunopathology of the KS test is similar to spontaneous sarcoid granuloma formation, and evolution of the KS granuloma may provide clues to the cause of sarcoidosis and other granulomatous disorders.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".