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Record W4237292838 · doi:10.14740/jem678

Subacute Thyroiditis in the Course of Coronavirus Disease 2019: A Case Report

2020· article· en· W4237292838 on OpenAlexvenueno aff
Mehmet Güven

Bibliographic record

VenueJournal of Endocrinology and Metabolism · 2020
Typearticle
Languageen
FieldMedicine
TopicThyroid Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSubacute thyroiditisOutbreakCoronavirus disease 2019 (COVID-19)ThyroiditisDiseaseCoronavirusThyroidThyroid diseaseSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Respiratory tractPediatricsInternal medicinePathologyRespiratory systemInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Subacute thyroiditis (SAT) is a non-suppurative thyroid gland inflammation, which usually develops after viral upper respiratory tract infections, accompanied by pain and fever. Here, we present a 49-year-old Turkish man who developed SAT 10 days after the diagnosis of coronavirus disease 2019 (COVID-19). After the COVID-19 outbreak, affecting millions of people worldwide, millions of people are also likely to develop SAT. Therefore, clinicians should pay attention to the development of SAT after COVID-19. J Endocrinol Metab. 2020;10(3-4):110-112 doi: https://doi.org/10.14740/jem678

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)0.003
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0040.002
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0070.005
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 head0.033
GPT teacher head0.324
Teacher spread0.291 · 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

Citations11
Published2020
Admission routes1
Has abstractyes

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