Referee report. For: Clues to finding correlates of risk/protection for HIV-1 vaccines [version 2; referees: 2 approved with reservations]
Bibliographic record
Abstract
Based on outcomes of informative HIV-1 vaccine prevention trials and the literature, it seems protection against HIV-1 acquisition more likely pertains to innate rather than adaptive immunity mechanisms. The proposed innate mechanism appears to be launched by alternatively activated macrophages in response to viral vectors and might be enhanced by natural female hormones. It was also suggested this novel immune mechanism was not likely amenable to discovery using standard or traditional approaches and is unlikely to be present in non-human models. A plausible, candidate innate mechanism with these characteristics pertains to the induction and production of human endogenous retrovirus–K102 (HERV-K102) particles by viruses which occurs in and generates foamy macrophages. HERV-K102 has salient features of non-pathogenic foamy retroviruses and its activation is part of the human-specific HERV-K HML-2 protective response described in HIV-1 patients. HERV-K102 particle production may be a novel and phylogenetically more recent form of innate immunity remarkably involving a viral anti-viral response. Accumulating clinical, biological and phylogenetic evidence supports a role of the HERV-K102 virus along with HML-2 responses, in the antagonism of HIV-1 replication and/or in the prevention of HIV-1 acquisition. Thus, it will be important to test the hypothesis that HERV-K HML-2 activation, HERV-K102 particle production and antibodies and T cell responses to select HERV-K102 or HML-2 antigens might comprise correlates of protection in HIV-1 vaccine prevention trials. Other proposed work would be to expand existing studies in HIV-1 highly exposed seronegative cohorts (HESN) and elite controllers to further evaluate a role of HERV-K102 and HML-2 in protection against HIV-1 replication and acquisition. The results of such inquiries may have important ramifications for the HIV-1 cure in addition to vaccines.
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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 | 0.007 | 0.111 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.010 | 0.006 |
| Insufficient payload (model declined to judge) | 0.518 | 0.351 |
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".