Predictors for wheezing phenotypes in the first decade of life
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: This study examined prenatal, perinatal and early childhood predictors of wheezing phenotypes in the first decade of life. METHODS: Information on current wheezing, was collected prospectively from five surveys conducted every 2 years over the first decade of life. Five wheezing phenotypes were defined: non-wheezers, preschool, primary-school, intermittent and persistent wheezers. Logistic regression with adjustment for survey design was used to determine the predictors of wheezing phenotypes. RESULTS: Data on 2711 children were used in the analysis. Early respiratory infection, the child's allergy and parental asthma were significant risk factors for preschool, intermittent and persistent wheeze. The child's allergy and parental asthma had stronger associations with persistent wheeze than with preschool wheeze. Breastfeeding was a significant predictor of both preschool and intermittent wheezing. Daycare attendance was a risk factor for preschool wheeze but a protective factor for primary-school wheezing. Crowding at home was a protective factor for both preschool and primary-school wheeze. Parental smoking was a significant factor for preschool wheeze. CONCLUSION: This study identified different predictors for each wheezing phenotype with some degree of overlap. The observed differential effects for these conditions raises the possibility that there are different aetiologies for asthma among children.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 it