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Record W2015138596 · doi:10.1097/rlu.0b013e3182336016

Differentiated Thyroid Cancer With Epiphora

2011· article· en· W2015138596 on OpenAlexaff
Salem A. Yuoness, Irina Rachinsky, Albert A. Driedger, Tarik Belhocine

Bibliographic record

VenueClinical Nuclear Medicine · 2011
Typearticle
Languageen
FieldMedicine
TopicNasolacrimal Duct Obstruction Treatments
Canadian institutionsSt. Joseph's HospitalLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineThyroid cancerPapillary thyroid cancerThyroidRadiologyNuclear medicineInternal medicine

Abstract

fetched live from OpenAlex

Chronic excess tearing or epiphora is seen in differentiated thyroid cancer patients who have received multiple doses of I-131 therapy. A 25-year-old woman with a papillary thyroid cancer received 6 doses of I-131 (±37GBq) for I-131–avid lung metastases. The patient underwent a diagnostic I-131 whole-body scan plus SPECT/CT for a borderline thyroglobulin. I-131 whole-body scan demonstrated a right periorbital focus as shown in Figure 1, which was precisely localized on SPECT/CT at the right proximal nasolacrimal duct as shown in Figure 2. Dacryoscintigraphy documented a right high-grade obstruction as shown in Figures 3 and 4. The patient underwent a right dacryocystorhinostomy with a Crawford tube insertion. SPECT/CT allows anatofunctional definition of pathophysiological I-131 uptake patterns.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.137
GPT teacher head0.381
Teacher spread0.243 · 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 designCase report
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

Citations22
Published2011
Admission routes1
Has abstractyes

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