Comparative Approaches to the Investigation of Responses to Stress and Viral Infection in Cattle
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Fatal bovine respiratory disease (BRD) is a major cause of financial losses in the cattle industry. A variety of stressors have been implicated as contributing to disease severity. However, it has proven difficult to determine the role these individual factors may play in the final outcome of this disease complex. The objective of the present investigation was to obtain proteomic, metabonomic, and elemental profiles of bovine serum samples from stressed and control animals before and after a primary viral infection to determine if these profiles could distinguish between responses to stressors and viral infection. Multivariate analysis revealed distinct differential trends in the distribution profile of proteins, metabolites, and elements following a stress response both before and after primary viral infection. A group of acute phase proteins, metabolites, and elements could be specifically linked to either a stress response (decreased serum amyloid A and Cu, increased apolipoprotein CIII, amino acids, LDL, P, and Mo) or a primary viral respiratory infection (increased apolipoprotein A1, haptoglobin, glucose, amino acids, LDL and Cu, decreased Lipid, and P). Thus, combined OMICS analysis of serum samples revealed that multimethod analysis could be used to discriminate between the complex biological responses to stress and viral infection.
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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 | 0.001 | 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 | 0.000 | 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 it