A Study of the Behavioral Effects of Prenatal Ethanol Exposure in Mice Fed a diet Marginally Deficient in Essential Fatty Acids for Two Generations
Bibliographic record
Abstract
This study investigated the effects of prenatal ethanol exposure on measures of fecundity, growth, behavioral development and learning in mice that had been fed a diet, marginal in essential fatty acid (EFA) content for two generations. The first generation of mice were fed one of two diets (adequate or marginal EFA) from conception. They were mated at 10 weeks, and from days 5 to 17 of gestation dams on each diet were fed equivalent daily amounts of a liquid diet containing either 22.5% of the calories as ethanol or with maltose-dextrin substituted isocalorically for ethanol. An additional control group was fed lab chow ad libitum. Offspring were maintained on their respective diets after weaning. The marginal-EFA diet led to a large increase in perinatal mortality; it also decreased body and brain weight in the surviving pups, and retarded behavioural development. Ethanol retarded behavioral development in females, and delayed the acquisition of learning the position of an escape platform in a T water-maze in the mice fed the adequate-EFA diet. The effects of ethanol did not appear to be worse in the mice fed the marginal-EFA diet, but these data must be considered in light of the high mortality on this diet, where only the healthiest pups may have survived.
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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) | 0.000 | 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 | 0.001 |
| 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".