Investigation of cytotoxicity and antibacterialeffect of boron-containing nano-hydroxyapatite
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 Aydın N, Karaoğlanoğlu S, Süloğlu A, İdil N, Demir M, Karakaş İ. Investigation of cytotoxicity and antibacterial effect of boron-containing nano-hydroxyapatite. Journal of Stomatology. 2024:93-99. doi:10.5114/jos.2024.139890. APA Aydın, N., Karaoğlanoğlu, S., Süloğlu, A., İdil, N., Demir, M., & Karakaş, İ. (2024). Investigation of cytotoxicity and antibacterial effect of boron-containing nano-hydroxyapatite. Journal of Stomatology, 93-99. https://doi.org/10.5114/jos.2024.139890 Chicago Aydın, Numan, Serpil Karaoğlanoğlu, Aysun Kılıç Süloğlu, Neslihan İdil, Merve Demir, and İbrahim Hakkı Karakaş. 2024. "Investigation of cytotoxicity and antibacterial effect of boron-containing nano-hydroxyapatite". Journal of Stomatology: 93-99. doi:10.5114/jos.2024.139890. Harvard Aydın, N., Karaoğlanoğlu, S., Süloğlu, A., İdil, N., Demir, M., and Karakaş, İ. (2024). Investigation of cytotoxicity and antibacterial effect of boron-containing nano-hydroxyapatite. Journal of Stomatology, pp.93-99. https://doi.org/10.5114/jos.2024.139890 MLA Aydın, Numan et al. "Investigation of cytotoxicity and antibacterial effect of boron-containing nano-hydroxyapatite." Journal of Stomatology, 2024, pp. 93-99. doi:10.5114/jos.2024.139890. Vancouver Aydın N, Karaoğlanoğlu S, Süloğlu A, İdil N, Demir M, Karakaş İ. Investigation of cytotoxicity and antibacterial effect of boron-containing nano-hydroxyapatite. Journal of Stomatology. 2024:93-99. doi:10.5114/jos.2024.139890.
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