A new platform designed for glaucoma screening: identifying the risk of glaucomatous optic neuropathy using fundus photography with deep learning architecture together with intraocular pressure measurements
Bibliographic record
Abstract
ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Zaleska-Żmijewska A, Szaflik J, Borowiecki P, et al. A new platform designed for glaucoma screening: identifying the risk of glaucomatous optic neuropathy using fundus photography with deep learning architecture together with intraocular pressure measurements. Klinika Oczna / Acta Ophthalmologica Polonica. 2020;122(1):1-6. doi:10.5114/ko.2020.94205. APA Zaleska-Żmijewska, A., Szaflik, J., Borowiecki, P., Pohnke, K., Romaniuk, U., & Szopa, I. et al. (2020). A new platform designed for glaucoma screening: identifying the risk of glaucomatous optic neuropathy using fundus photography with deep learning architecture together with intraocular pressure measurements. Klinika Oczna / Acta Ophthalmologica Polonica, 122(1), 1-6. https://doi.org/10.5114/ko.2020.94205 Chicago Zaleska-Żmijewska, Anna, Jacek P. Szaflik, Paweł Borowiecki, Katarzyna Pohnke, Urszula Romaniuk, Izabela Szopa, and Jacek Pniewski et al. 2020. "A new platform designed for glaucoma screening: identifying the risk of glaucomatous optic neuropathy using fundus photography with deep learning architecture together with intraocular pressure measurements". Klinika Oczna / Acta Ophthalmologica Polonica 122 (1): 1-6. doi:10.5114/ko.2020.94205. Harvard Zaleska-Żmijewska, A., Szaflik, J., Borowiecki, P., Pohnke, K., Romaniuk, U., Szopa, I., Pniewski, J., and Szaflik, J. (2020). A new platform designed for glaucoma screening: identifying the risk of glaucomatous optic neuropathy using fundus photography with deep learning architecture together with intraocular pressure measurements. Klinika Oczna / Acta Ophthalmologica Polonica, 122(1), pp.1-6. https://doi.org/10.5114/ko.2020.94205 MLA Zaleska-Żmijewska, Anna et al. "A new platform designed for glaucoma screening: identifying the risk of glaucomatous optic neuropathy using fundus photography with deep learning architecture together with intraocular pressure measurements." Klinika Oczna / Acta Ophthalmologica Polonica, vol. 122, no. 1, 2020, pp. 1-6. doi:10.5114/ko.2020.94205. Vancouver Zaleska-Żmijewska A, Szaflik J, Borowiecki P, Pohnke K, Romaniuk U, Szopa I et al. A new platform designed for glaucoma screening: identifying the risk of glaucomatous optic neuropathy using fundus photography with deep learning architecture together with intraocular pressure measurements. Klinika Oczna / Acta Ophthalmologica Polonica. 2020;122(1):1-6. doi:10.5114/ko.2020.94205.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".