Association of Bio-energy Processing-Induced Protein Molecular Structure Changes with CNCPS-Based Protein Degradation and Digestion of Co-products in Dairy Cows
Bibliographic record
Abstract
The primary objective of this study was to develop a model to predict Cornell Net Carbohydrate Protein System (CNCPS) protein degradation and digestion based on protein molecular structure changes induced by bio-energy processing in different types of co-products (CoPR, CoPC, CoPS = co-products from bioprocessing of rapeseed, canola seed, and soybean, respectively). The results showed that the inherent structure changes induced by the processing had a close relationship with CNCPS predicted protein degradable, undegradable, and digestible contents. The amide I to II ratio and α-helix to β-sheet ratio could be used to predict total degradable protein (R(2) = 0.99, RSD = 0.84, P < 0.001). Total CNCPS intestinal digestible protein could be predicted by protein structure α-helix to β-sheet ratio (R(2) = 0.93, RSD = 0.33, P < 0.001). In conclusion, the processing-induced protein molecular structure changes were highly linked to protein nutritive value of the co-products and could be used as predictors for CNCPS protein degradation and digestion in dairy cattle.
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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 | 0.001 |
| 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 | 0.001 | 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 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".