Linseed meal during early pregnancy increases litter size in pigs without affecting post-natal growth
Bibliographic record
Abstract
To determine how feeding linseed meal (LSM) during gestation influences litter size, placental weight, and piglet growth, sows (n = 30) received a phytoestrogen-free Control diet throughout gestation; 12.5% LSM diet throughout gestation (LSM114); or 12.5% LSM diet from day 1 to day 15 of gestation and control diet until parturition (LSM15). Maternal diet did not affect birth weight, placental weight, or postnatal growth. The number of fully formed piglets was increased (P = 0.05) in LSM15 sows compared with Control and LSM114 sows (13.5 vs. 10.1 and 11.6 ± 1.0, respectively). Feeding LSM during the first 2 wk after breeding may enhance litter size.
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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".