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
BACKGROUND: The primary pathophysiological feature of glaucoma is a progressive optic neuropathy with characteristic morphological changes of the optic disc and risk factors of age and intraocular pressure. Recently, involvement of other areas of the central nervous system (CNS) beyond the optic nerve has been demonstrated. This article addresses the proposition that glaucoma shares mechanistic and pathophysiologic features with neurodegenerations in the CNS. METHODS: The literature on CNS alterations in patients with glaucoma is reviewed with particular focus on neuroimaging and pathological studies. A theoretical framework for assessing whether glaucoma is truly a neurodegenerative disease is developed based on the comparison with neurodegenerative and nonneurodegenerative diseases. RESULTS: Although there is convincing evidence of abnormalities in CNS regions distal to the optic nerve in glaucoma, these are similar to those seen in other disorders of the proximal visual pathways, such as other optic neuropathies or retinal diseases. Similarly, features of glaucoma that are similar to neurodegenerations are also seen in nonneurodegenerative diseases. CONCLUSIONS: Glaucoma is less likely a primary neurodegeneration affecting the CNS and more likely a primary optic neuropathy with secondary effects in the CNS.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
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 it