Changes in magnetic resonance imaging scores and ventilation inhomogeneity in children with cystic fibrosis pulmonary exacerbations
Bibliographic record
Abstract
Acute pulmonary exacerbations (aPEs) in patients with cystic fibrosis (CF) often result in incomplete recovery of lung function despite treatment, and are associated with lung function decline over time [1, 2]. Monitoring is therefore important to detect aPEs early and to track treatment responses. Recent studies testing pulmonary function with multiple breath washout (MBW) have shown that the lung clearance index (LCI), the main outcome measure of MBW, is a sensitive tool to measure early changes in the CF lung [3, 4]. However, the potential role of MBW and LCI in more advanced CF lung disease is currently unclear. In fact, a recent study demonstrated heterogeneous responses in LCI, with a significant proportion of patients with CF showing worsening of LCI with treatment for aPEs [5]. Resolution of mucus plugging, resulting in recruitment of poorly ventilated areas of the lung to MBW, would potentially explain the discordant changes in pulmonary function testing by spirometry and LCI with treatment. Resolution of mucus plugging may explain worsening LCI during pulmonary exacerbation treatment in children with CF
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".