Evaluation of rotational stability of two toric intraocular lenses, Acrysof IQ Toric and Tecnis Toric, using new ToriCalc software
Bibliographic record
Abstract
AMA Filatow S, Mikołajczyk M, Omulecki W, Wilczynski M. Evaluation of rotational stability of two toric intraocular lenses, Acrysof IQ Toric and Tecnis Toric, using new ToriCalc software. Klinika Oczna / Acta Ophthalmologica Polonica. 2024;126(2):79-85. doi:10.5114/ko.2024.135699. APA Filatow, S., Mikołajczyk, M., Omulecki, W., & Wilczynski, M. (2024). Evaluation of rotational stability of two toric intraocular lenses, Acrysof IQ Toric and Tecnis Toric, using new ToriCalc software. Klinika Oczna / Acta Ophthalmologica Polonica, 126(2), 79-85. https://doi.org/10.5114/ko.2024.135699 Chicago Filatow, Serhij, Maksym Mikołajczyk, Wojciech Omulecki, and Michal Wilczynski. 2024. "Evaluation of rotational stability of two toric intraocular lenses, Acrysof IQ Toric and Tecnis Toric, using new ToriCalc software". Klinika Oczna / Acta Ophthalmologica Polonica 126 (2): 79-85. doi:10.5114/ko.2024.135699. Harvard Filatow, S., Mikołajczyk, M., Omulecki, W., and Wilczynski, M. (2024). Evaluation of rotational stability of two toric intraocular lenses, Acrysof IQ Toric and Tecnis Toric, using new ToriCalc software. Klinika Oczna / Acta Ophthalmologica Polonica, 126(2), pp.79-85. https://doi.org/10.5114/ko.2024.135699 MLA Filatow, Serhij et al. "Evaluation of rotational stability of two toric intraocular lenses, Acrysof IQ Toric and Tecnis Toric, using new ToriCalc software." Klinika Oczna / Acta Ophthalmologica Polonica, vol. 126, no. 2, 2024, pp. 79-85. doi:10.5114/ko.2024.135699. Vancouver Filatow S, Mikołajczyk M, Omulecki W, Wilczynski M. Evaluation of rotational stability of two toric intraocular lenses, Acrysof IQ Toric and Tecnis Toric, using new ToriCalc software. Klinika Oczna / Acta Ophthalmologica Polonica. 2024;126(2):79-85. doi:10.5114/ko.2024.135699.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.007 | 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".