Trajectories of gut microbiota and nonatopic wheeze: an early-life microbial footprint on preschool asthma
Bibliographic record
Abstract
<title>Extract</title> In recent years, the early-life gut microbiome has gained significant attention as a potentially modifiable determinant of childhood asthma [1–3]. This interest has been driven largely by epidemiological studies linking gut microbial composition and maturation during infancy to asthma development later in life. However, efforts to identify specific microbial signatures that are causally linked to asthma have faced challenges due to disease heterogeneity, timing of exposures and host–environment interactions [4]. In this issue of <italic>ERJ Open Research</italic>, a new analysis from the Canadian Healthy Infant Longitudinal Development (CHILD) cohort study contributes to this growing body of research by identifying distinct gut microbiota trajectories in infancy that are linked to nonatopic preschool asthma (defined as wheeze) by age 5 years [5]. This work provides new insight into an under-studied but prevalent phenotype of preschool asthma.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".