Two Ethnic Clusters with Huntington Disease in Israel: The Case of Mountain Jews and Karaites
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
BACKGROUND: Worldwide prevalence estimates of Huntington disease (HD) vary widely, with no reliable information regarding the Jewish population in Israel. METHODS: This specialized tertiary single-center cross-sectional study assessed clinical, cognitive, and demographic characteristics of 84 HD patients who were treated at the Movement Disorder Unit of the Tel Aviv Medical Center, Israel. RESULTS: Our cohort was composed of one-third Ashkenazi Jews, 27% Mountain Jews (Caucasus Jews), 18% Sephardi Jews, and 21% Karaites, with both Mountain Jews and Karaites over-represented compared to their relevant proportion in the population of the state of Israel, which is less than 1%. No between-group differences were detected regarding the number of CAG (cytosine-adenine-guanine) repeats, age at onset, disease duration, years from symptom onset to diagnosis, gender, years of education, Unified Huntington Disease Rating Scale scores, or the Montreal Cognitive Assessment scores. CONCLUSION: We detected clustering of HD among the population treated at our Medical Center, which has the only specialized HD clinic in the country, with a high percentage of HD among 2 relatively small subpopulations of Jews: Mountain Jews and Karaites.
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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 it