Molecular Approaches to AIDS Vaccine Development Using Baculovirus Expression Vectors
Bibliographic record
Abstract
The acquired immune deficiency syndrome (AIDS) is caused by human immunodeficiency virus type 1 or 2 (HIV-l or HIV-2). The disease is characterized by a high susceptibility to opportunistic infections or to malignant diseases, such as Kaposi’s sarcoma. The major immunologic abnormality is the selective depletion of CD4 + T-cells together with decreased capacity to secrete or respond to lymphokines, such as interleukin 2. During infection, HIV induces both a humor-al and cell-mediated immune response to its viral components. However, the response cannot cope with progressive infection. An antibody response to the virion surface proteins, env (gp120, gp41), and the core protein, gag (p24, p17), is observed in most instances 4–8 wk after infection with the virus. The antibody response clears the virus from the circulation, but does not eliminate cells that become latently infected. As infected individuals progress from the asymptomatic state to produce AIDS-related complex (ARC) and subsequently to full-blown AIDS, anti-p24 titers are reduced and the viral antigen appears in the circulation of patients. The significance of this reduction in p24 antibody for disease progression is presently not known. High levels of antibodies to env gene products are also found in HIV-l positive patients, but no real relationship has been noted between their titers or their neutralizing capacities and progression to AIDS ( 1 , 2 ).
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".