Utilization of Feline ELISPOT for Mapping Vaccine Epitopes
Bibliographic record
Abstract
A commercial feline immunodeficiency virus (FIV) vaccine consisting of inactivated dual-subtype viruses was released in the USA in 2002 and released subsequently over the next 6 years in Canada, Australia, New Zealand, and Japan. Based on the genetic, morphologic, and biochemical similarities between FIV and human immunodeficiency virus-1 (HIV-1), FIV infection of domestic cats is being used as a small animal model of HIV/AIDS vaccine. Studies on prototype and commercial FIV vaccines provide new insights to the types of immunity and the vaccine epitopes required for an effective human HIV-1 vaccine. ELISPOT assays to detect cytokines, chemokines, and cytolytic mediators are widely used to measure the magnitude and the types of cellular immunity produced by vaccination. Moreover, such approach has identified regions on both HIV-1 and FIV proteins that induce robust antiviral cellular immunity in infected hosts. Using the same strategy, cats immunized with prototype and commercial FIV vaccines are being analyzed by feline interferon-γ and IL-2 ELISPOT systems to identify the vaccine epitope repertoire for prophylaxis.
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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 | 0.001 | 0.001 |
| 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".