Physiology of retinal reattachment in humans: Swept source optical coherence tomography imaging data supporting a novel staging system
Bibliographic record
Abstract
This article presents high-resolution swept source optical coherence tomography (SS-OCT) imaging data used to describe the physiology of retinal reattachment in humans. SS-OCT imaging was performed at baseline and every 2 h for the first 6 h and at frequent intervals thereafter up to 6 weeks following the injection of intravitreal gas in eyes undergoing pneumatic retinopexy for rhegmatogenous retinal detachment. Imaging data presented in this article is related to the research paper titled “Real-Time in Vivo Assessment of Retinal Reattachment in Humans using Swept-Source Optical Coherence Tomography” (Bansal et al., 2021). SS-OCT images were assessed longitudinally and used to devise a novel staging system that describes the physiology of retinal reattachment. Multiple examples of each stage and the transition from one stage to the next are provided. SS-OCT images were also assessed to determine the timing associated with each stage, and the anatomic abnormalities, such as outer retinal folds and subretinal fluid blebs that occured as a result of delayed progression through certain stages.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".