The impact of anxiety on undergraduate students’ outcomes during prosthetic exam
Bibliographic record
Abstract
AMA Al-Jammali ZM, Al-Yasiry A, Azeez Alsaadi M, Abed Alhussian Alyassery AM. The impact of anxiety on undergraduate students' outcomes during prosthetic exam. Journal of Stomatology. 2024;77(1):29-33. doi:10.5114/jos.2024.136125. APA Al-Jammali, Z. M., Al-Yasiry, A., Azeez Alsaadi, M., & Abed Alhussian Alyassery, A. M. (2024). The impact of anxiety on undergraduate students' outcomes during prosthetic exam. Journal of Stomatology, 77(1), 29-33. https://doi.org/10.5114/jos.2024.136125 Chicago Al-Jammali, Zainab M, Anas Al-Yasiry, Malath Azeez Alsaadi, and Aoss M Abed Alhussian Alyassery. 2024. "The impact of anxiety on undergraduate students' outcomes during prosthetic exam". Journal of Stomatology 77 (1): 29-33. doi:10.5114/jos.2024.136125. Harvard Al-Jammali, Z., Al-Yasiry, A., Azeez Alsaadi, M., and Abed Alhussian Alyassery, A. (2024). The impact of anxiety on undergraduate students' outcomes during prosthetic exam. Journal of Stomatology, 77(1), pp.29-33. https://doi.org/10.5114/jos.2024.136125 MLA Al-Jammali, Zainab et al. "The impact of anxiety on undergraduate students' outcomes during prosthetic exam." Journal of Stomatology, vol. 77, no. 1, 2024, pp. 29-33. doi:10.5114/jos.2024.136125. Vancouver Al-Jammali Z, Al-Yasiry A, Azeez Alsaadi M, Abed Alhussian Alyassery A. The impact of anxiety on undergraduate students' outcomes during prosthetic exam. Journal of Stomatology. 2024;77(1):29-33. doi:10.5114/jos.2024.136125.
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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 | 0.002 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".