Hyper-IgE Syndrome: Report of Three Cases and Review of Literature
Bibliographic record
Abstract
The hyper-immunoglobulin E syndrome (HIES) is a rare primary immunodeficiency disorder characterized by high serum levels of immunoglobulin E (IgE), recurrent skin and lung infections, chronic dermatitis and a variety of connective tissue and skeletal abnormalities. The bacteria that commonly infect these patients are Staphylococcus aureus and Haemophilus influenzae. These patients share some characteristic facial appearance and many oral manifestations. Therapy should include prolonged antibiotic therapy. We report the clinical picture of three patients that presented recurrent infections and different outcomes, and then we describe and compare with our patients the clinical, laboratory and therapeutic aspects of HIES. J Med Cases. 2011;2(4):151-155 doi: https://doi.org/10.4021/jmc213w
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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 | 0.003 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".