Maternal pre-pregnancy body mass index and offspring temperament at 3 months
Bibliographic record
Abstract
Introduction: Pre-pregnancy obesity has been linked to emotional and behavioural problems in offspring, though it remains unclear when the presence of these difficulties first emerges. Method: We examined the association between maternal pre-pregnancy body mass index (BMI) and temperament at 3 months of age in the offspring of 16 women residing in Hamilton, Ontario. Infant temperament was measured using the Infant Behaviour Questionnaire Revised, which specifically examined surgency/extraversion, negative affectivity, and orienting/regulation. Results: A statistically significant association was observed between maternal BMI and infant negative affectivity (B=0.05, 95% CI=0.01-0.08), which remained significant after adjusting for confounding variables (B=0.04, 95% CI=0.01-0.08). Conclusion: The current study provides evidence that fetal exposure to high maternal BMI during pregnancy is associated with increased negative affectivity in infants at 3 months of age. The results suggest that the intrauterine environment associated with high maternal BMI may influence temperament at a very early stage in development.
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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 | 0.000 | 0.001 |
| 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) | 0.002 | 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 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".