Short communication: Comparison of the newly developed DVE/OEB (2010) system and the National Research Council (2001) model in modeling metabolic characteristics of proteins in dairy cattle
Bibliographic record
Abstract
The truly absorbed protein in the small intestine/degraded protein balance (DVE/OEB)2010 system is a recently developed protein evaluation system for ruminants. The objective of this study was to compare the DVE/OEB2010 system with the National Research Council (2001) model in determining the metabolic characteristics of proteins in dairy cattle. The metabolic characteristics of proteins in bioethanol feedstock and their co-products were compared in terms of (1) truly absorbed rumen synthesized microbial protein in the small intestine; (2) truly absorbed rumen undegraded feed protein in the small intestine; (3) endogenous protein in the digestive tract; (4) total truly absorbed protein in the small intestine; and (5) protein degraded balance. The DVE/OEB2010 system predicted 30% more truly absorbed rumen synthesized microbial protein in the small intestine, 4% more truly absorbed rumen undegraded feed protein in the small intestine, 64% more endogenous protein, 9% more total truly absorbed protein in the small intestine, but 27% less degraded protein balance.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".