Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Age related macular degeneration is an increasing problem worldwide. Current treatment options can delay progression, and research continues into ways of reversing retinal damage An epidemic of "ageing" is impending in the Western world. According to the latest predictions released by the United Nations, the number of people aged over 60 will triple from 606 million worldwide in 2000 to nearly 2 billion by 2050. The increase in the population aged over 80 is expected to be more than fivefold, from 69 million in 2000 to 379 million by 2050. People aged over 60 constitute about 20% of the population in more developed regions of the world; by 2050 they will probably account for 33%. 1 The United Kingdom is predicted to have about 16 million people over the age of 60 by 2040. 2 One major implication of this demographic change is the emergence of conditions that are directly related to ageing. Age related macular degeneration is already the leading cause of blindness in the Western world. Between 20 and 25 million people are affected worldwide, a figure that will triple with the increase in the ageing population in the next 30-40 years. 2 According to the World Health Organization, 8 million people have severe blindness due to age related macular degeneration, excluding the countries where data are scare. 3 In a recent systematic review Fletcher et al estimate that somewhere between 182 000 and 300 000 people in the United Kingdom are blind or partially sighted as a result of age related macular degeneration. 4
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.
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 | 0.000 |
| 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) | 0.000 | 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 it