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Record W3041816412 · doi:10.1016/j.radcr.2020.06.036

A curious case of a comestible cough candy

2020· article· en· W3041816412 on OpenAlexaff
Yasmine Sallam, Michael T. Jurkiewicz

Bibliographic record

VenueRadiology Case Reports · 2020
Typearticle
Languageen
FieldMedicine
TopicTraumatic Ocular and Foreign Body Injuries
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineForeign bodyHeadachesPhysical examinationEmergency departmentComputed tomographyRadiologyDentistrySurgery

Abstract

fetched live from OpenAlex

An 80-year-old woman was seen in the Emergency Department with a history of left jaw pain and headaches, as well as numerous additional comorbidities. Computed tomography examination of the head and face found a circumscribed, ovoid, markedly hyperattenuating mass with areas of internal air within the left buccal space - the density of which was neither that of metal nor bone. After speaking with the patient, she reported having a cough candy in her mouth during the examination. Here we review the imaging appearance of an unusual case of a comestible intraoral foreign body so as to raise awareness of this incidental pseudolesion. Correct recognition of this as an intraoral foreign body rather than true pathology of the oral cavity is important as to save patients the anguish of a significant, albeit incorrect, diagnosis and avoid the additional cost and resource utilization of unnecessary further investigations.

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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0050.003
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 head0.024
GPT teacher head0.294
Teacher spread0.270 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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