Excess mortality after HIV seroconversion has greatly decreased in the past 10 yearsCommentary
Bibliographic record
Abstract
K Porter Dr K Porter, MRC Clinical Trials Unit, London, UK; kp@ctu.mrc.ac.uk What is the risk of death in HIV-infected people compared with the general population? Has this risk changed since the introduction of highly active antiretroviral therapy (HAART)? ### Design: inception cohort followed up for a median 6.3 years. ### Setting: 10 European countries, Australia, and Canada. ### Patients: 16 534 patients ⩾15 years of age at HIV seroconversion (median age 29 y, 78% men) who had well-estimated dates of seroconversion (within 18 mo) and exposure to HIV through injection drug use (18% of patients), sex between men (57%), or heterosexual sex (24%). ### Prognostic factors: calendar period of follow-up (before 1996, 1996–7, 1998–9, 2000–1, 2002–3, and 2004–6), sex, age at seroconversion, and HIV exposure category. ### Outcomes: mortality, excess …
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".