Image of serpiginous choroiditis in swept-source optical coherence tomography angiography – a review of the literature
Bibliographic record
Abstract
AMA Kal M, Płatkowska-Adamska B, Winiarczyk M, et al. Image of serpiginous choroiditis in swept-source optical coherence tomography angiography – a review of the literature. Klinika Oczna / Acta Ophthalmologica Polonica. 2023;125(3):146-150. doi:10.5114/ko.2023.131905. APA Kal, M., Płatkowska-Adamska, B., Winiarczyk, M., Krupińska, J., Mackiewicz, J., & Odrobina, D. et al. (2023). Image of serpiginous choroiditis in swept-source optical coherence tomography angiography – a review of the literature. Klinika Oczna / Acta Ophthalmologica Polonica, 125(3), 146-150. https://doi.org/10.5114/ko.2023.131905 Chicago Kal, Magdalena, Bernadetta Płatkowska-Adamska, Mateusz Winiarczyk, Joanna Krupińska, Jerzy Mackiewicz, Dominik Odrobina, and Dorota Zarębska-Michaluk. 2023. "Image of serpiginous choroiditis in swept-source optical coherence tomography angiography – a review of the literature". Klinika Oczna / Acta Ophthalmologica Polonica 125 (3): 146-150. doi:10.5114/ko.2023.131905. Harvard Kal, M., Płatkowska-Adamska, B., Winiarczyk, M., Krupińska, J., Mackiewicz, J., Odrobina, D., and Zarębska-Michaluk, D. (2023). Image of serpiginous choroiditis in swept-source optical coherence tomography angiography – a review of the literature. Klinika Oczna / Acta Ophthalmologica Polonica, 125(3), pp.146-150. https://doi.org/10.5114/ko.2023.131905 MLA Kal, Magdalena et al. "Image of serpiginous choroiditis in swept-source optical coherence tomography angiography – a review of the literature." Klinika Oczna / Acta Ophthalmologica Polonica, vol. 125, no. 3, 2023, pp. 146-150. doi:10.5114/ko.2023.131905. Vancouver Kal M, Płatkowska-Adamska B, Winiarczyk M, Krupińska J, Mackiewicz J, Odrobina D et al. Image of serpiginous choroiditis in swept-source optical coherence tomography angiography – a review of the literature. Klinika Oczna / Acta Ophthalmologica Polonica. 2023;125(3):146-150. doi:10.5114/ko.2023.131905.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 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".