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Record W2481484737 · doi:10.17925/usor.2014.07.02.154

Age-related Macular Degeneration—Disease, Risk Factors, and Treatments

2014· article· en· W2481484737 on OpenAlexaff
Clyde Schultz

Bibliographic record

VenuetouchREVIEWS in Ophthalmology · 2014
Typearticle
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMacular degenerationDrusenMedicineDiseaseOphthalmologyIncidence (geometry)Degeneration (medical)Posterior polePosterior segment of eyeballRetinalInternal medicine

Abstract

fetched live from OpenAlex

Age-related macular degeneration (AMD) is a progressive disease of the posterior segment of the eye. It is has been diagnosed worldwide and primarily affects individuals over 50 years of age. The incidence of the disease increases with age and with the presence of certain genetic factors, which may indicate a disposition for disease progression. In addition to genetic factors and age, other factors may be involved in developing AMD. These include obesity and smoking, which are also linked to various cardiovascular conditions. There are two forms of AMD: wet and dry. Both forms may involve the build-up of drusen deposits in the posterior segment of the eye, but the wet form tends to be more severe due to the proliferation of blood vessels into the macula and retinal areas of the back of the eye, thus causing an individual’s vision to become ‘blocked’ or ‘shaded’ usually beginning at the center of the visual field. There are a variety of treatment options for AMD including surgery in the form of laser or photo therapy. The most current treatment options involve the injection of a biologic into the posterior segment of the eye. There are some severe adverse events with this approach but they tend to be rare.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.028
GPT teacher head0.317
Teacher spread0.289 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2014
Admission routes1
Has abstractyes

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