Long chain polyunsaturated fatty acids (LC‐PUFA) and perinatal development
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
UNLABELLED: This paper reports on the conclusions of a workshop on the role of long chain polyunsaturated fatty acids (LC-PUFA) in maternal and child health. The attending investigators involved in the majority of randomized trials examining LC-PUFA status and functional outcomes summarize the current knowledge in the field and make recommendations for dietary practice. Only studies published in full or in abstract form were used as our working knowledge base. CONCLUSIONS: For healthy infants we recommend and strongly support breastfeeding as the preferred method of feeding, which supplies preformed LC-PUFA. Infant formulas for term infants should contain at least 0.2% of total fatty acids as docosahexaenoic acid (DHA) and 0.35% as arachidonic acid (AA). Since preterm infants are born with much less total body DHA and AA, we suggest that preterm infant formulas should include at least 0.35% DHA and 0.4% AA. Higher levels might confer additional benefits and should be further investigated because optimal dietary intakes for term and preterm infants remain to be defined. For pregnant and lactating women we consider it premature to recommend specific LC-PUFA intakes. However, it seems prudent for pregnant and lactating women to include some food sources of DHA in their diet in view of their assumed increase in LC-PUFA demand and the relationship between maternal and foetal DHA status.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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