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
BACKGROUND: Brief self-reports of antiretroviral therapy adherence that place minimal burden on patients and clinic staff are promising alternatives to more elaborate adherence assessments currently in use. This research assessed the association between self-reported adherence on visual analog scale (VASs) and an existing, more complex self-reported measure of adherence, the AACTG, and the degree to which each method distinguished optimally and suboptimally adherent patients in terms of reported barriers to adherence. METHODS: HIV-infected patients (N = 147) at a southeastern US clinic completed a computerized assessment including an antiretroviral therapy adherence VAS, a modified version of the AACTG, and a measure of adherence. RESULTS: Adherence rates were comparable across the AACTG (81%) and VAS (87%); they significantly correlated (r = 0.585) and produced identical classification of optimal (>90%) or suboptimal (<90%) adherence for 66% of patients. In general, VAS scores tended to be higher than AACTG scores. Suboptimally adherent patients reported more adherence barriers than those classified as optimally adherent, and those so classified by the VAS reported considerably more barriers to adherence than those so classified by the AACTG. CONCLUSIONS: Results generally support the construct validity of the VAS and its use as an easily administered assessment tool that can identify patients with barriers to adherence who might benefit from adherence support interventions.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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