Ranavirus Host Immunity and Immune Evasion
Bibliographic record
Abstract
Ranaviruses (RV, Iridoviridae) are now known to infect fish, amphibians, and reptiles, raising considerable ecological and commercial concerns due to the escalating infection prevalence and the resulting die-offs of wild and aquacultural species. Notably, ranaviruses exhibit uncanny capacities to cross host species barriers of their poikilothermic hosts, likely owing to their potent immune evasion mechanisms. In turn, the species infected by these pathogens possess immune systems that are less well understood than those of mammals, and are often comprised of unique immune genes or multiple copy orthologs of the single hallmark mammalian immune factors. Thus, garnering greater insight into ranavirus infection strategies is largely contingent on gaining further insights into host immune barriers faced by these emerging infectious agents. Accordingly, here we coalesce the current state of understanding of the distinct facets of lower vertebrate immune responses to ranaviral infections and underline some of the evasion strategies by which these pathogens circumvent these host defenses.
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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 | 0.000 | 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) | 0.003 | 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".