Bibliographic record
Abstract
Hemophagocytic lymphohistiocytosis (HLH) is a potentially fatal hyperinflammatory condition. It may occur as a primary (genetic) condition due to mutations in genes important in the cytolytic secretory pathway that cause perforin and granzymes to induce apoptosis in target cells. Primary HLH is divided into familial HLH (FHLH1-5), in which HLH is the only manifestation of disease, and other genetic causes in which HLH is one of several clinical manifestations. The identical clinical findings may arise secondary to infectious, rheumatologic, malignant, or metabolic conditions. Whether primary or secondary, HLH therapy needs to be instituted promptly to prevent irreversible tissue damage. It is helpful to think of HLH as the severe end of the spectrum of hyperinflammatory disorders when the immune system starts to damage host tissues (immunopathology). Therefore, no single clinical feature alone is diagnostic for HLH, and it is important that the entire clinical presentation be considered in making the diagnosis. This article contains a discussion of the genetic background, clinical presentation, diagnostic dilemmas, and features that are helpful in making the diagnosis of HLH, along with a discussion of common problems in its management.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".