Arab genetic disease database (AGDDB): A population-specific clinical and mutation database
Bibliographic record
Abstract
Here we present the Arab Genetic Disease Database (AGDDB), a curated catalog of genetic disorders found in Arab populations. The first release of the database is populated primarily with information from the textbook Genetic Disorders Among Arab Populations [Teebi and Farag, 1997]. AGDDB is composed of data elements revolving around disorder reports. Other reports cover clinical, genomic, reference, and population frequency elements and their important attributes. The Arab Genetic Disease Consortium (30 investigators, 18 countries) is responsible for editing and reviewing AGDDB data. After initial indexing, AGDDB contains over 1,000 unique disorder entries. Entries are linked to their counterparts in the Online Mendelian Inheritance in Man (OMIM) database; similar associations with relevant locus-specific and central mutation databases are planned. The database can be queried by keyword across all its fields, with more focused searches allowed. The database is freely available and may be accessed at www.agddb.org. The database serves as a robust prototype for cataloging variation and disorder information within a specific population.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 0.023 |
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".