Bibliographic record
Abstract
Before highly active antiretroviral therapy (HAART) was introduced, the advantages to infected individuals of knowing their HIV status were minimal, and counselling before HIV testing was the recommended practice.1 This usually limited testing by relying on people who were obviously at risk presenting themselves for testing. Such groups included injecting drug users and men who have sex with men and their sexual contacts. Targeting of these groups will become an increasingly less useful concept as HIV continues to spread into the population that is conventionally not at risk. KUTZUTOMO KAWAI/PHOTONICAHIV can affect anyone Do we need to reconsider if routine voluntary counselling and testing is appropriate today? Since 1991 heterosexual transmission of HIV has been the most common mode of transmission in the United Kingdom.2 Currently, nearly half of those infected heterosexually and a quarter of infected men who have sex with men in the United Kingdom are undiagnosed.3 A quarter of newly diagnosed patients in the United Kingdom in 2002 were diagnosed late with serious immunosuppression.3 Unless further initiatives are undertaken the epidemic will worsen. Possible initiatives would be to lower thresholds for HIV testing by reducing the emphasis on pre-test counselling. Reasons for low HIV testing rates and thus low detection …
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.079 | 0.020 |
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".