Net energy of diets containing wheat-corn distillers dried grains with solubles as determined by indirect calorimetry, comparative slaughter, and chemical composition methods1
Bibliographic record
Abstract
The NE content of diets containing wheat-corn distillers dried grains with solubles (wcDDGS; 1:1 ratio) fed to growing pigs was determined using the comparative slaughter (CS), indirect calorimetry (IC), and chemical composition (CH) methods. The experimental diets were a corn-soybean meal control diet (CTRL), CTRL + 15% wcDDGS, and CTRL + 30% wcDDGS. In Exp. 1, 56 barrows (18.5 kg BW) were used to determine the NE value of diets using the CS method. Pigs were initially placed in 8 groups (7/group), based on BW and 1 pig/group was killed at the start of the experiment to obtain baseline body composition. The remaining 48 pigs were housed in pairs and allotted to the 3 diets (n = 8). Pigs had free access to feed and water for a 28-d period, after which 1 pig/pen was slaughtered to determine final body composition. Based on the CS method, NE values of 2,430, 2,427, and 2,429 kcal/kg DM were obtained for diets containing 0%, 15%, and 30% wcDDGS, respectively. In Exp. 2, 18 barrows (20.4 kg BW) were used to determine the NE value of diets using the IC and CH methods. Pigs were individually housed in metabolism crates and fed the 3 diets (n = 6) at 550 kcal ME/kg BW/d for a 16-d period. Feces and urine were collected from d 11 to 16, followed by measurement of O(2) consumption, CO(2) production, and urinary N, over a 36-h period using an IC system. For the IC method, NE values of 2,586, 2,513, and 2,520 kcal/kg DM were obtained for diets containing 0%, 15%, and 30% wcDDGS, respectively, and corresponding values for the CH method were 2,447, 2,451, and 2,368 kcal/kg DM, respectively. The NE values that were obtained with the CS, IC, and CH methods were not different.
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".