Functional genes and regulatory elements influencing immune response of sheep to gastrointestinal nematode infection
Bibliographic record
Abstract
Infection with gastrointestinal nematodes is challenging and costly for sheep producers and impacts the economic efficiency of farms and reduces the welfare of infected animals. There is evidence that resistance to gastrointestinal nematodes is a heritable trait in sheep, and genetic selection for this trait is a novel method for Canadian sheep producers to reduce levels of gastrointestinal nematode infection in their flocks. This thesis sought to identify functional regulatory elements including genes, mRNA isoforms, and long non-coding RNA that regulate the host immune response to gastrointestinal nematode infection in sheep using hepatic tissue collected from animals with various levels of gastrointestinal nematode infection and immune responsiveness. A list of candidate key regulatory genes, mRNA isoforms, and long non-coding RNAs were identified. These candidate regulatory elements may be used in future genomic selection programs to increase the resistance of grazing sheep to infection by gastrointestinal nematodes.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".