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Record W2922353454 · doi:10.5206/uwomj.v84i2.4299

The implantable miniature telescope

2015· article· en· W2922353454 on OpenAlexvenueaboutno aff
Phillip Williams, Steven Chan-Fai Wong

Bibliographic record

VenueUniversity of Western Ontario Medical Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicRetinal and Optic Conditions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMacular degenerationBlindnessFood and drug administrationVisual acuityQuality of life (healthcare)OphthalmologyStage (stratigraphy)OptometrySurgeryMedical emergency

Abstract

fetched live from OpenAlex

Bilateral, end-stage, age-related macular degeneration (AMD) is a devastating condition of the eye. As the leading cause of blindness worldwide in the elderly, it leads to poor quality of life. While antivascular endothelium growth factor agents are used as front-line treatment for wet AMD, no current treatment exists for bilateral, end-stage AMD in Canada. The implantable miniature telescope (IMT), approved by the Food and Drug Administration in 2010, is a treatment option available for those over the age of 65 in the United States with stable severe to profound vision impairment (best-corrected visual acuity 20/160 to 20/800) caused by bilateral central scotomas associated with bilateral, end-stage AMD. Combining the fields of engineering and ophthalmology, intraocular implantation of the IMT provides improvements in patients’ functional vision and quality of life. As a relatively new treatment targeting the elderly, there are strict inclusion criteria as well as risks associated with the procedure. However, research and continuing development in this field is ongoing to minimize these risks.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.232
Teacher spread0.215 · 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 designNot applicable
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

Citations3
Published2015
Admission routes2
Has abstractyes

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