Awareness and attitude towards using magnification loupes among dental students: a cross-sectional study
Bibliographic record
Abstract
AMA Kumar Metta K, Singh G, Altwirqi F, et al. Awareness and attitude towards using magnification loupes among dental students: a cross-sectional study. Journal of Stomatology. 2024;77(1):41-46. doi:10.5114/jos.2024.136136. APA Kumar Metta, K., Singh, G., Altwirqi, F., Alkathami, A. M., Mansoor Magle Alsulami, A., & Kanaparthi, S. et al. (2024). Awareness and attitude towards using magnification loupes among dental students: a cross-sectional study. Journal of Stomatology, 77(1), 41-46. https://doi.org/10.5114/jos.2024.136136 Chicago Kumar Metta, Kiran, Gautam Singh, Faisal Ali Ahmed Altwirqi, Adbdulaziz M Alkathami, Abdulrhman Mansoor Magle Alsulami, Saraswathi Kanaparthi, and Vinod Bandela. 2024. "Awareness and attitude towards using magnification loupes among dental students: a cross-sectional study". Journal of Stomatology 77 (1): 41-46. doi:10.5114/jos.2024.136136. Harvard Kumar Metta, K., Singh, G., Altwirqi, F., Alkathami, A., Mansoor Magle Alsulami, A., Kanaparthi, S., and Bandela, V. (2024). Awareness and attitude towards using magnification loupes among dental students: a cross-sectional study. Journal of Stomatology, 77(1), pp.41-46. https://doi.org/10.5114/jos.2024.136136 MLA Kumar Metta, Kiran et al. "Awareness and attitude towards using magnification loupes among dental students: a cross-sectional study." Journal of Stomatology, vol. 77, no. 1, 2024, pp. 41-46. doi:10.5114/jos.2024.136136. Vancouver Kumar Metta K, Singh G, Altwirqi F, Alkathami A, Mansoor Magle Alsulami A, Kanaparthi S et al. Awareness and attitude towards using magnification loupes among dental students: a cross-sectional study. Journal of Stomatology. 2024;77(1):41-46. doi:10.5114/jos.2024.136136.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".