Response of nursery pigs to diets with increasing levels of raw peas
Bibliographic record
Abstract
Five corn-soybean-based diets were formulated to contain 0, 15, 20, 25, or 30% raw peas and fed for 35 d to ninety-six 21-d-old pigs. Raw peas were included at the expense of corn and soybean meal. Increasing levels of raw peas depressed daily gain (P = 0.07), feed intake (P = 0.04) from days 21 to 56. Specifically, pigs fed diet with 25% peas had 19 and 25% lower average daily gain (ADG) and average daily feed intake (ADFI), respectively, than pigs fed the diet with 0% peas. The body weight (BW) was also linearly reduced (P = 0.10) on day 56. However, diets did not affect feed efficiency. Key words: Growth performance, peas, pig
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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".