Immunological aspects of naturally occurring model of hepatitis B virus (HBV) infection, hepatitis B, and HBV-associated hepatocellular carcinoma in the American woodchuck <i>Marmota monax</i>
Bibliographic record
Abstract
Infection of eastern North American woodchucks (Marmota monax) with woodchuck hepatitis virus (WHV) represents the most valuable immunopathogenic model of hepatitis type B that, like in humans, can advance stepwise from acute hepatitis to chronic hepatitis and hepatocellular carcinoma (HCC) or become self-resolving and persist as a clinically asymptomatic infection throughout the lifespan. This naturally occurring model is utilized for both basic research and preclinical assessments of anti-hepatitis B virus (HBV) agents and immunotherapies against chronic hepatitis B and HCC. The main advantages of the system include a close molecular and immunogenic compatibility between HBV and WHV, equivalence in immune responses in different forms of infection and stages of hepatitis, human-compatible responsiveness to antivirals and immunotherapies, and the fact that virus-host interactions occur in an innately virus-susceptible, immunologically intact host. Woodchuck-WHV infection offers a well-characterized and all-inclusive system to advance studies on HBV pathogenicity and oncogenicity, and for discovery and preclinical validations of new therapies.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".