Bibliographic record
Abstract
While highly active antiretroviral therapy (HAART) has transformed HIV/AIDS to a chronic, treatable disease in Canada, HIV incidence continues to rise among male-sex-male (MSM) populations. Montreal, Canada, is a unique environment for a comprehensive surveillance study on HIV transmission dynamics. Phylogenetic strategies show that half of all new MSM infections in Montreal may arise through onward transmission by individuals who are in primary HIV infection (PHI) (< 6 months post-infection) and often unaware of their HIV status. Large cluster networks, wherein one infection leads to 5-31 onward transmissions, constitute the fastest-growing sub-epidemic, representing 25% and 39% of genotyped incident infections in 2005 and 2009, respectively. This has disturbing implications in light of the introduction of non-B subtype and drug-resistant sub-epidemics. Biological and behavioural correlates of cluster membership are being investigated to establish risk determinants implicated in the onward transmission of the MSM epidemic. Our findings underscore the opportunities and challenges in implementing new testing and tailored prevention paradigms for different MSM populations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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".