The comparison of the effects of dietary arachidonic acid and exogenous prostaglandin E|2 on bone metabolism and mineralization in the new born piglet
Bibliographic record
Abstract
Both prostaglandin E2 (PGE2) administration and dietary arachidonic acid (AA), the precursor to endogenous PGE2 synthesis, have been independently shown to elevate bone mass. The research objective is to compare the effects of dietary AA versus PGE2 on the fatty acid composition of plasma and liver tissue, bone cell metabolism, ex vivo PGE2 release and bone mineral content (BMC) and density (BMD) of the new born piglet. Twenty-eight five-day old piglets from seven litters were randomized to one of four treatments (n = 7 per treatment) for fifteen days: Fatty acid supplemented formula (FA; 0.8% of total fatty acids as AA and 0.1% of total fatty acids as DHA) plus PGE2 injections (0.1 mg/kg/day), FA plus saline injections, standard formula (STD; n-6:n-3 of 8:1) plus PGE2 injections or STD plus saline injections. After fifteen days, plasma and liver tissue were analyzed for fatty acids via gas chromatography. Biochemical bone markers, plasma osteocalcin, urinary calcium and cross-linked N-telopeptide of type Icollagen (NTX) were measured and ex vivo PGE2 release in bone organ culture was determined. Whole body, femur and total lumbar 1-4 BMC and BMD were measured using dual energy x-ray absorptiometry. (Abstract shortened by UMI.)
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".