Analysis of full-field electroretinography parameters and potential for monitoring functional retinal deterioration in unilateral retinal vasculitis
Bibliographic record
Abstract
To elucidate changes of full-field electroretinography (ffERG) tests in active unilateral retinal vasculitis, using the unaffected fellow eye as an internal control. Despite no significant differences in best corrected visual acuity (p=0.100) or central subfield macular thickness (p=0.084) at baseline, ffERG showed significant reductions in five of eight amplitudes (i.e. DA10 a-wave, p<0.001) and delays in six of eight implicit times (i.e. light-adapted Flicker, p=0.002). At follow-up ffERG, following management for retinal vasculitis, the implicit times normalised, coinciding with inflammation reduction. However, the amplitude reductions persisted. In ffERG, the implicit time might be a sensitive biomarker for retinal vasculitis activity and the amplitude might be one for permanent functional loss.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".