Are malaysian ready to adopt telepharmacy services during the new norm? A cross-sectional survey
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
While lowering the danger of transmission, remote healthcare services have drawn increasing attention during the coronavirus disease 2019 (COVID-19) epidemic by bridging the gap between healthcare professionals and the general population. The purpose of this study was to look at Malaysian residents' knowledge, attitudes, and practices (KAP) about telepharmacy services during the COVID-19 epidemic. During the third wave of COVID-19, a descriptive cross-sectional research was carried out among Malaysia's general population.Using several social networking platforms, including Facebook, WhatsApp, Facebook, Telegram, and course networking, therespondents gathered information using the convenience sampling approach.To evaluate their current knowledge, attitude, and practices, they completed a selfadministered questionnaire. To report demographic information, descriptive statistics were employed. The variable's differentiation, association, and correlations were reported using inferential statistics.
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 | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it