Body weight gain in HIV-positive people treated with antiretroviral therapy in Brazil
Bibliographic record
Abstract
AMA Macedo L, Cardoso G, dos Santos N, de Sousa Menezes R. Body weight gain in HIV-positive people treated with antiretroviral therapy in Brazil. HIV & AIDS Review. International Journal of HIV-Related Problems. 2024:107-108. doi:10.5114/hivar.2024.135849. APA Macedo, L., Cardoso, G., dos Santos, N., & de Sousa Menezes, R. (2024). Body weight gain in HIV-positive people treated with antiretroviral therapy in Brazil. HIV & AIDS Review. International Journal of HIV-Related Problems, 107-108. https://doi.org/10.5114/hivar.2024.135849 Chicago Macedo, Luis Fernando Reis, Gabriela dos Santos Cardoso, Nikácio Adnner Tavares dos Santos, and Raimundo Tiago de Sousa Menezes. 2024. "Body weight gain in HIV-positive people treated with antiretroviral therapy in Brazil". HIV & AIDS Review. International Journal of HIV-Related Problems: 107-108. doi:10.5114/hivar.2024.135849. Harvard Macedo, L., Cardoso, G., dos Santos, N., and de Sousa Menezes, R. (2024). Body weight gain in HIV-positive people treated with antiretroviral therapy in Brazil. HIV & AIDS Review. International Journal of HIV-Related Problems, pp.107-108. https://doi.org/10.5114/hivar.2024.135849 MLA Macedo, Luis Fernando Reis et al. "Body weight gain in HIV-positive people treated with antiretroviral therapy in Brazil." HIV & AIDS Review. International Journal of HIV-Related Problems, 2024, pp. 107-108. doi:10.5114/hivar.2024.135849. Vancouver Macedo L, Cardoso G, dos Santos N, de Sousa Menezes R. Body weight gain in HIV-positive people treated with antiretroviral therapy in Brazil. HIV & AIDS Review. International Journal of HIV-Related Problems. 2024:107-108. doi:10.5114/hivar.2024.135849.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 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".