Bibliographic record
Abstract
Cystic fibrosis (CF) remains the most common lethal disease associated with a single gene defect in populations of European descent. The gene that prevents CF is the cystic fibrosis transmembrane conductance regulator (CFTR), an ATP-dependent anion channel expressed mostly at the apical surface of epithelia lined with mucus secretions. CF results from a deficiency in CFTR amount and/or function. Fortunately, the clinical situation is rapidly improving for CF patients and their families. The mean age of survival has markedly increased in recent years. These improvements are attributable to the high quality of care that has evolved in the multidisciplinary treatment of secondary defects such as lung infections and malabsorption. Furthermore, the hope of finding a cure or control for individuals with CF is buoyed up by novel pharmacological approaches that directly address the primary defect in CFTR function. This review will examine various aspects of CF including its epidemiology, genetic basis and molecular pathogenesis, animal models, clinical presentation, diagnostic approaches, conventional treatments, and future therapeutic avenues to correct dysfunctional CFTR.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.142 | 0.111 |
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".