Predicting airway hyperresponsiveness to methacholine in patients with atopic dermatitis
Bibliographic record
Abstract
Background: There are overlapping physiologic mechanisms between atopic dermatitis (AD) and asthma. However, predictive factors in development of airway hyperresponsiveness (AHR) in patients with AD are lacking. Objective: This study aimed to determine factors predictive of AHR in patients with AD without a history of asthma. Methods: We performed a cross-sectional study measuring methacholine AHR in 12 participants with AD without a history of asthma. The clinical data measured included AD onset and severity. In addition, skin biopsy sample scores, sputum eosinophil counts, blood eosinophil counts, total IgE levels, and spirometry findings were obtained and compared between subjects with and without methacholine AHR. Results: = .058]). Conclusion: /FVC (% predicted).
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".