Modifier Gene Studies to Identify New Therapeutic Targets in Cystic Fibrosis
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
Since the discovery of the CFTR gene mutations which cause cystic fibrosis (CF) in 1989 the average life expectancy of CF patients has almost doubled and now exceeds 37 years. The advances in molecular diagnostics and medical treatments expanded beyond the CF patient population as some of the newest treatments are also being tested for treatment of complex diseases such as COPD and other inherited disorders. Rapid development of CF therapeutics is important for the cystic fibrosis community and is an excellent example for other nonprofit organizations, disease foundations and pharmaceutical companies alike. Better understanding of disease variability and underlying molecular mechanisms through genetic association studies aimed to identify novel CF modifier genes opens new venues for targeted drug design. Furthermore, these genetic studies allow development of molecular diagnostic tests for patient population stratification and treatment personalization, which is already being done for CF patients with specific mutations in the CFTR gene, as well as implementation of new molecular tests for reliable assessment of disease progression and severity.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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