Evaluation of bio-compatibility and effectiveness of propolis Tetragonula sp. as dental anti-microbial agent
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
AMA Adiningrat A, Maulana I, Fadhlurrahman A, Kurniawan M, Seno Aji N. Evaluation of bio-compatibility and effectiveness of propolis Tetragonula sp. as dental anti-microbial agent. Journal of Stomatology. 2023;76(2):94-100. doi:10.5114/jos.2023.128778. APA Adiningrat, A., Maulana, I., Fadhlurrahman, A., Kurniawan, M., & Seno Aji, N. (2023). Evaluation of bio-compatibility and effectiveness of propolis Tetragonula sp. as dental anti-microbial agent. Journal of Stomatology, 76(2), 94-100. https://doi.org/10.5114/jos.2023.128778 Chicago Adiningrat, Arya, Ikhsan Maulana, Ahmad Ghitha Fadhlurrahman, Muhammad Fariez Kurniawan, and Nur Rahman Ahmad Seno Aji. 2023. "Evaluation of bio-compatibility and effectiveness of propolis Tetragonula sp. as dental anti-microbial agent". Journal of Stomatology 76 (2): 94-100. doi:10.5114/jos.2023.128778. Harvard Adiningrat, A., Maulana, I., Fadhlurrahman, A., Kurniawan, M., and Seno Aji, N. (2023). Evaluation of bio-compatibility and effectiveness of propolis Tetragonula sp. as dental anti-microbial agent. Journal of Stomatology, 76(2), pp.94-100. https://doi.org/10.5114/jos.2023.128778 MLA Adiningrat, Arya et al. "Evaluation of bio-compatibility and effectiveness of propolis Tetragonula sp. as dental anti-microbial agent." Journal of Stomatology, vol. 76, no. 2, 2023, pp. 94-100. doi:10.5114/jos.2023.128778. Vancouver Adiningrat A, Maulana I, Fadhlurrahman A, Kurniawan M, Seno Aji N. Evaluation of bio-compatibility and effectiveness of propolis Tetragonula sp. as dental anti-microbial agent. Journal of Stomatology. 2023;76(2):94-100. doi:10.5114/jos.2023.128778.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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