Bibliographic record
Abstract
Abstract The gastrointestinal tract (GIT) uses a disproportionate amount of energy relative to its weight to facilitate digestion and movement of dig, nutrient absorption, and barrier function. Through these roles, the GIT acts as the first barrier for the immune system. As such, it is clear that understanding factors that affect these functions, particular absorptive and barrier function, can help improve nutrient utilization and limit immune activation. Cattle fed highly fermentable diets provide a unique opportunity to explore functions of the GIT and improve our understanding of the connection between digestive and metabolic disorders, and infectious disease. Consistent feed intake is a major challenge facing epithelia lining the GIT as feed-deprivation: induces behavioral stress that may alter epithelial cell function increasing risk for inflammation; induces rapid reductions in absorptive surface area; reduces rates of short-chain fatty acid absorption, and results in a transient increase in GIT permeability. Upon re-feeding, cattle previously experiencing off-feed events are at high risk for ruminal acidosis. Reasons for depressed feed intake are numerous and the off-feed event imposed by many diseases may provide a theorized linkage between respiratory disease, ruminal acidosis, and liver abscesses. Recent research has highlighted that increased GIT permeability may decrease gain and alter carcass composition supportive of inflammatory-mediated responses. In addition, there is growing evidence that highly fermentable diets may alter the regional permeability; however, future research is needed to confirm these findings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.009 | 0.006 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".