Reticular macular lesions: a review of the phenotypic hallmarks and their clinical significance
Bibliographic record
Abstract
Reticular macular lesions, also known as 'reticular macular disease', 'reticular drusen', 'reticular pseudodrusen', or 'subretinal drusenoid deposits', are a pattern of lesions commonly found in age-related macular degeneration and best visualized using at least two imaging techniques in combination. Reticular lesions have four stages of progression observable on spectral domain optical coherence tomography, but they do not show the usual signs of regression of soft drusen (calcification and pigment changes). Furthermore, reticular lesions correlate histologically with subretinal drusenoid deposits localized between the retinal pigment epithelium and the inner segment ellipsoid band. Reticular lesions are most commonly seen in older age groups of female patients with age-related macular degeneration and are usually bilateral. They are not clearly associated with known age-related macular degeneration genes and are highly associated with late-stage age-related macular degeneration and an increased mortality rate. They are also associated with alterations in the neural retina and choroid.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".