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Record W2052049842 · doi:10.14740/jmc.v6i5.2109

Orbital Cavernous Hemangioma With Proptosis in a Child

2015· article· en· W2052049842 on OpenAlexvenueno aff
Hyokrae Cho

Bibliographic record

VenueJournal of Medical Cases · 2015
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations and Hemangiomas
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemangiomaOrbit (dynamics)Capillary hemangiomaMagnetic resonance imagingLesionCraniotomyRadiologyMass/lesionComputed tomographySurgery

Abstract

fetched live from OpenAlex

Vascular malformations are the most common space-occupying lesions of the orbit in children. Cavernous hemangiomas are the most common benign orbital tumors of adults, while capillary hemangioma is the most common in childhood. A 15-year-old boy was presented with a mass in the right orbit, causing unilateral painless proptosis. Although preoperative computed tomography (CT) scan and magnetic resonance imaging (MRI) are important to diagnose this disease entity, it is difficult to differentiate vascular malformations from other lesion. Right zygomatico-orbital craniotomy was performed to remove the orbital mass. Histological examination showed characteristics of cavernous hemangioma. J Med Cases. 2015;6(5):211-213 doi: http://dx.doi.org/10.14740/jmc2109w

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)0.002
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 score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0030.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.287
Teacher spread0.259 · 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
Published2015
Admission routes1
Has abstractyes

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