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 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 | 0.003 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".