Bibliographic record
Abstract
This study identified several key genes and pathways linked to disease resistance. Notably, genes involved in the humoral immune response, protein synthesis, inflammatory response, and hematological system development were found to be critical. Central genes such as IL4, IL5, IL13RA2, and IL13 were highlighted for their role in Th2 polarized responses, which are crucial for resistance to nematode infections. Additionally, pathways related to cytokine-mediated immune response and the PPARG signaling pathway were enriched in resistant sheep. The study also identified polymorphisms in immune pathway genes on sheep chromosome 3, which were associated with resistance traits. Furthermore, genomic regions containing candidate genes like ABCB1, IL6, WNT5A, and IRF5 were proposed as potential biomarkers for selecting resilient sheep. The findings of this study provide significant insights into the genetic and molecular mechanisms underlying disease resistance in sheep. The identification of key genes and pathways not only enhances our understanding of host-pathogen interactions but also offers potential genetic markers for breeding programs hoped at improving disease resistance in sheep populations.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".