Signal transducer and activator of transcription 3
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE OF REVIEW: Signal transducer and activator of transcription 3 (STAT3) is an important transcription factor involved in a wide variety of cellular functions. Germline loss-of-function mutations are known to cause hyper-IgE immunodeficiency (autosomal dominant hyper IgE syndrome), whereas somatic gain-of-function mutations have been described in large granular cell leukemia, and polymorphisms in STAT3 have been associated with inflammatory bowel disease and other solid organ tumors. The review examines recent discoveries in our understanding of the nonmalignant disease processes affected by STAT3 mutations in human disease. RECENT FINDINGS: Germline STAT3 gain-of-function mutations have recently been identified in patients with an early-onset autoimmunity/lymphoproliferative syndrome. STAT3 plays a previously unrecognized role in several facets of the pathogenesis of allergy. Loss-of-function STAT3 mutations revealed critical roles for STAT3 in the development and function of several lymphocyte populations and in their role in host defense. SUMMARY: The discovery of new gain-of-function mutations in STAT3, as well as new studies among patients with loss-of-function mutations, expand the understanding of the pathophysiology of STAT3 function and its importance in regulating the immune system. These findings contribute to elucidating STAT3 biology and clinical symptoms in patients with the different disease phenotypes.
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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) | 0.002 | 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 | 0.001 |
| 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 it