Bibliographic record
Abstract
Primary haemophagocytic lymphohistiocytosis (HLH) diseases are a collection of inherited genetic disorders that cause the syndrome of HLH. Great advances have been made in the last 20 years with regard to the discovery of many of the genetic aetiologies of disease. Several advances have also been made on the clinical stage. Accurate screening diagnostics for primary HLH diseases that are superior to traditional Natural Killer cell function testing have been developed and are now available in many countries. There is now grounded clinical experience on which to base routine treatment decisions for patients with HLH. Newer approaches to allogeneic haematopoietic cell transplantation have increased overall patient survival. Despite these advances, however, there is still much work to be done to further improve patient care. This 'How I Treat' article will focus on summarizing current diagnostic, treatment and transplant strategies for patients with primary HLH diseases.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".