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Record W2772351305 · doi:10.33591/sfp.43.4.c1

Giant Cell Arteritis Presenting as Pyrexia of Unknown Origin in Asians: 2 Case Reports.

2017· article· en· W2772351305 on OpenAlexaff
Charlotte SL Tan

Bibliographic record

VenueThe Singapore Family Physician · 2017
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsInnovation Cluster (Canada)
Fundersnot available
KeywordsGiant cell arteritisFever of unknown originMedicineArteritisDermatologyPathologyVasculitisInternal medicineDisease

Abstract

fetched live from OpenAlex

Giant cell arteritis (GCA) has a Caucasian preponderance and mainly affects persons older than 50 years old.We report on 2 elderly patients of Asian origin who presented with pyrexia of unknown origin to highlight the rare occurrence of GCA in Asians without classical symptoms.Due to its wide spectrum of manifestations and ethnic differences in epidemiology, the disease can pose a diagnostic challenge to unwary clinicians, resulting in serious sequelae; thus a high index of suspicion is needed for prompt diagnosis and treatment.Temporal artery biopsy should be performed when GCA is suspected.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.006
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.003
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0060.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.022
GPT teacher head0.287
Teacher spread0.265 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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