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
Based on a philosophy of empowerment, we developed the HIV Treatment, Virtual Nursing Assistance and Education intervention to equip persons living with HIV for managing their daily antiretroviral therapies. In this article, we describe the project and the process of developing it, which was carried out in three phases: (1) development of the intervention's clinical content, (2) generation of a multimedia presentation, and (3) implementation of our Web application via computer interface. The HIV Treatment, Virtual Nursing Assistance and Education consists of four interactive sessions at the computer, animated by a virtual nurse that takes the individual through the learning process about the capabilities necessary for taking the treatment. This information and strategies provided by the virtual nurse are specifically adapted to the participant, according to the responses he/she supplies. The virtual intervention approach, still experimental, is intended to be complementary with the actual clinical follow-up and has been developed in the context of reorganizing services and of the scarcity of resources. While we anticipate direct positive outcomes among the HIV clientele, it is also highly probable that this virtual support application will have ramifications among different clienteles who must also contend with the daily challenges of their health conditions.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 | 0.000 |
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 it