Adherence to Pre-exposure Prophylaxis intervention by transgender women: A systematic review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This will be a systematic review aiming to shed light on the adherence to PrEP by HIV-negative transgender women. We will follow the recommendations made by the Cochrane Handbook for Systematic Reviews of Interventions, and the updated Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement. We will search for randomized and non-randomized controlled trial studies that worked with HIV-negative transgender women population and focused on adherence to PrEP intervention, regardless of race or country. We will conduct a systematic search in the Web of Science (WoS), Scopus, MEDLINE, and OVID electronical databases, with no language restriction and no restriction date. We will use a combination of MeSH terms and non-controlled vocabulary that we considered crucial to our objective. To control publication bias, we will also conduct a generic and academic Internet search and a metasearch. A search strategy defined for “gray literature” will be included, to gather information from the source Google Scholar. Two authors independently will assess the methodological quality of data and risk of bias of the included studies using the Newcastle-Ottawa Scale (NOS) tool, which includes nine items.
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.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.006 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.113 | 0.003 |
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 it