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Record W4387566785 · doi:10.58931/cdet.2023.1316

Approach to the Management of Thyroid Eye Disease

2023· article· en· W4387566785 on OpenAlexaff
Sabrina Yu, Vivian T. Yin

Bibliographic record

VenueCanadian Diabetes & Endocrinology Today · 2023
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Eye Disorders
Canadian institutionsUniversity of British Columbia
FundersInternational Council of Ophthalmology
KeywordsMedicineEuthyroidNatural historyGraves' diseaseDiseaseThyroidThyroiditisEye diseaseThyroid diseaseDermatologyPediatricsPathologyInternal medicineGastroenterologySurgery

Abstract

fetched live from OpenAlex

Thyroid Eye Disease (TED), also known as Grave’s orbitopathy, is an autoimmune condition characterized by inflammation of the extraocular muscles, orbital fat and periocular tissues. As the most common orbital disease worldwide, its prevalence is estimated to be between 0.5–2% and it disproportionately affects females 4:1. Although the majority of TED cases occur in patients with Graves’ disease (80–90%), it can also be seen with patients with Hashimoto’s thyroiditis (10%), euthyroid individuals (5–10%) and thyroid cancer. At the time of initial Graves’ disease diagnosis, 25% of patients have clinically detectable orbital involvement that is often mild. The natural history of TED typically consists of an initial active inflammatory period lasting 6–36 months, which then plateaus and is followed by a quiescent fibrotic phase with stabilization of disease.

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 score0.052
Threshold uncertainty score0.832

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.016
GPT teacher head0.261
Teacher spread0.245 · 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
Published2023
Admission routes1
Has abstractyes

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