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Record W2140982419 · doi:10.1002/hed.23757

Transoral robotic excision of ectopic lingual thyroid: Case series and literature review

2014· review· en· W2140982419 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHead & Neck · 2014
Typereview
Languageen
FieldMedicine
TopicHead and Neck Anomalies
Canadian institutionsVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsEctopic thyroidSeries (stratigraphy)ThyroidMedicineSurgical excisionGeneral surgerySurgeryInternal medicineBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Surgical excision of an ectopic lingual thyroid has traditionally been associated with significant morbidity and has therefore been reserved for patients with severe obstructive symptoms or suspected malignancy. Transoral robotic surgery (TORS) has provided a minimally invasive approach to completely and safely excise ectopic lingual thyroid. METHODS: Three index cases were identified from the detailed clinical database of TORS patients. A systematic review of the management of ectopic lingual thyroid in the English literature was performed. RESULTS: TORS-assisted excision of a lingual thyroid gland was successfully performed in 3 patients with excellent functional outcomes CONCLUSION: TORS-assisted excision of an ectopic lingual thyroid is a safe and feasible treatment modality with minimal morbidity, and, in experienced hands, should be offered as a valid treatment for this pathology.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.659
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
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)0.0000.000

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 head0.042
GPT teacher head0.370
Teacher spread0.329 · 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