The Impact of Maternal Vitamin D Levels on Infant Health: A Review Article
Bibliographic record
Abstract
Pregnancy is a unique and demanding time in terms of calcium and phosphate metabolism. Studies have shown that prevalence of vitamin D deficiency among pregnant women varies, as being 33% in US, 24% in Canada and 20-77% in Europe. Low maternal levels of vitamin D during pregnancy are associated with many neonatal outcomes, including small for gestational age (SGA), preterm birth, detrimental effect on offspring teeth and bone development in addition to the susceptibility to infectious diseases. Background: Pregnancy is a unique and demanding time in terms of calcium and phosphate metabolism. Vitamin D is one important for the developmental process and plays a crucial role for mineral balance, with rapidly growing bone susceptible to mineralization defects such as rickets [1]. Vitamin D deficiency has become a global public health issue, especially for pregnant women [2]. Several studies conducted on a large population have evaluated the effect of vitamin D deficiency during pregnancy and relate it to many adverse outcomes for both the mother and the child [3].
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".