Implications of viral transmitted/founder (T/F) dynamics on vaccine development
Bibliographic record
Abstract
Viral infection typically originates from a limited number of virions known as transmitted/founder (T/F) viruses. Studies of cross-species transmission, and intra-species transmission of antigenically variable viruses, indicates T/F variants may express distinct, transmissibility enhancing phenotypes. However, with evidence that transmissibility is associated with not only intrinsic virological features, such as virion composition, but also extrinsic factors, such as viral population structure, the challenge of resolving T/F signatures that can be targeted by rational vaccine or antiviral design is substantial. Nonetheless, failure to develop vaccines for antigenically variable viruses, such as HIV/HCV, and the ongoing risk of cross-species transmission with pandemic potential, recommends development of T/F targeting vaccines. In this commentary, the T/F phenomena is introduced, explored in both the classical (HIV) and non-canonical (coronaviruses) instances, and discussed in relation to rational and preemptive vaccine design.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| 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".