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Record W2685502351 · doi:10.1016/j.ajoc.2017.06.010

Metallic intraocular foreign body as detected by magnetic resonance imaging without complications– A case report

2017· article· en· W2685502351 on OpenAlex
Alexander S. Platt, Benjamin Wajda, April Ingram, Xing‐Chang Wei, Anna L. Ells

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

VenueAmerican Journal of Ophthalmology Case Reports · 2017
Typearticle
Languageen
FieldMedicine
TopicTraumatic Ocular and Foreign Body Injuries
Canadian institutionsAlberta Children's HospitalUniversity of CalgaryUniversity of AlbertaQueen's University
Fundersnot available
KeywordsMedicineMagnetic resonance imagingForeign bodyForeign BodiesOptical coherence tomographyComputed tomographyRadiologyOphthalmologySurgery

Abstract

fetched live from OpenAlex

PURPOSE: To describe a case and present unique images of a metallic intraocular foreign body that was identified in a 12-year-old male patient who underwent routine magnetic resonance imaging (MRI) to assess neurodevelopmental delay. OBSERVATIONS: We present MRI and diagnostic imaging of a metallic intraocular foreign body in a young patient with no known history of trauma or reason for the existence of metal in the eye area. Computed tomography scan was performed to confirm the presence of the intraocular foreign body, followed by optical coherence tomography and electroretinogram to assess visual status. It was determined that no surgical intervention was currently required as no visual impairment or ocular toxicity was identified. The patient continues to be monitored. CONCLUSIONS AND IMPORTANCE: This case presentation highlights the novel imaging features of a metallic intraocular foreign body, unexpectedly detected with MRI.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.101
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.015
GPT teacher head0.317
Teacher spread0.303 · 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