Trajectories of gut microbiota and nonatopic wheeze: an early-life microbial footprint on preschool asthma
Bibliographic record
Abstract
Extract 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 ERJ Open Research, 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 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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.014 | 0.006 |
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".