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Record W2187102243

A Vision for the Future: Pathology and Emerging Treatments of Age-Related Macular Degeneration

2008· article· en· W2187102243 on OpenAlexaboutno aff
Laura E. Gleeson

Bibliographic record

VenueTrinity Student Medical Journal · 2008
Typearticle
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMacular degenerationMedicineRanibizumabPegaptanibChoroidal neovascularizationDrusenOphthalmologyRetinal pigment epitheliumHypopigmentationDegeneration (medical)BevacizumabDermatologyRetinalSurgeryChemotherapy
DOInot available

Abstract

fetched live from OpenAlex

Age-related macular degeneration impacts vastly on elderly populations, particularly in the developed world. The less severe, non-exudative form of the disease is characterised by hypopigmentation of the retina due to atrophic changes in the retinal pigment epithelium. The exudative form is caused by the formation of choroidal neovascular membranes subretinally. Trials of new treatments for the non-exudative form are currently underway and rheopheresis therapy is now available in both Canada and Germany. Treatment of the more severe exudative form has been revolutionised in the past ten years with the advent of transpupillary therapy, intravitreal steroid injections and photodynamic therapy. Most significant is the emergence of anti-angiogenic drugs pegaptanib, ranibizumab and bevacizumab. The future is hopeful, with research ongoing into genetic factors, immunotherapy and new surgical techniques also. WinneroftheGlaxoSmithKlineBestArticleAward

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.005
Open science0.0010.001
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0140.003

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.

Opus teacher head0.020
GPT teacher head0.354
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations1
Published2008
Admission routes1
Has abstractyes

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