Bibliographic record
Abstract
Cystic fibrosis (CF) infants are born with normal airway anatomy, and dilatation of mucus glands in smaller airways has been described as the earliest histological changes in the lung of patients. This and other evidence has led to the concept that the small airways may be the region demonstrating initial pathology. Studies clarifying this have been challenged by the lack of a clear definition of what constitutes "small airways" and the difficulties to find accurate measures to quantify and track abnormalities in this region of the lung. Dynamic lung function test are not ideally suited to capture small airway abnormalities as the overall surface area of the small airways is about 40 times greater than that of central airways. Measures that are linked to airway size therefore often fail to capture abnormalities in a disease such as cystic fibrosis that is unevenly distributed throughout the lung. This review summarizes our current understanding of the role of small airways in disease development in cystic fibrosis patients and describes the spectrum of diagnostic tools available to diagnose and follow small airway disease and highlight the opportunities as well as challenges of targeting small airways via aerosol therapy in CF patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".