A novel second-generation HIV-1 circulating recombinant form (CRF183_0107) identified among men who have sex with men in China
Bibliographic record
Abstract
OBJECTIVE: This study aimed to report a novel HIV-1 circulating recombinant form (CRF) identified among men who have sex with men (MSM) in China. DESIGN: Viral sequences were isolated from MSM patients, and the recombination and evolutionary histories of this CRF were elucidated through phylogenetic and Bayesian analyses. METHODS: Near full-length genomes (NFLGs) and partial genome sequences were amplified from RNA extracted from plasma samples of three HIV-1 seropositive MSM in Heilongjiang Province, China. Phylogenetic analysis was conducted using FastTree v2.1.9, and recombination analysis was performed using Simplot v3.5.1. The emergence time of the novel CRF was estimated by Bayesian evolutionary analysis using BEAST v1.10.4. RESULTS: Two NFLGs and two partial genome segments were successfully obtained from three MSM participants. This novel CRF was characterized by 12 mosaic gene segments, comprising 6 segments from the CRF01_AE cluster 4 and 6 segments from the CRF07_BC cluster N, and thus was designated as CRF183_0107. The estimated time of origin for the CRF01_AE and CRF07_BC components within CRF183_0107 were approximately 2009.2 and 2012.5, respectively. CONCLUSION: A novel second-generation HIV-1 recombinant, named CRF183_0107, was identified within the MSM population in China. This CRF exemplified the recombination events occurring between the CRF01_AE cluster 4 and the CRF07_BC cluster N during 2009-2012.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".