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Record W2420236031 · doi:10.1155/2016/1432764

Pediatric Myofibroma of the Palate with Ulceration and Bone Destruction

2016· article· en· W2420236031 on OpenAlexaff
Joseph A. Capo, Dina Moubayed, Sami P. Moubayed, Juan C. Hernandez‐Prera, Azita S. Khorsandi, Daniel Buchbinder, Mark L. Urken

Bibliographic record

VenueCase Reports in Otolaryngology · 2016
Typearticle
Languageen
FieldMedicine
TopicSoft tissue tumor case studies
Canadian institutionsUniversité de Montréal
FundersMount Sinai Health System
KeywordsMedicineHead and neckDifferential diagnosisMalignancyBiopsyPathologySurgery

Abstract

fetched live from OpenAlex

Myofibroma is a rare benign neoplasm occurring in the head and neck, arising primarily in infants and children. Frequently, myofibromas grow rapidly leading to suspicion of malignancy and the potential for overaggressive surgical excision. We aim to report a rare case of myofibroma with ulceration and bone destruction. A nine-year-old female presented with an ulcerated left hard palate mass. Open biopsy was performed with pathology suggestive of myofibroma. A left partial maxillectomy and reconstruction with a buccal advancement flap were performed. Final pathology confirmed the diagnosis of a benign myofibroma. Myofibroma is a rare benign tumor of the head and neck which must be considered in the differential diagnosis by the clinician and the pathologist in order to prevent inappropriate and/or overaggressive treatment.

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)0.001
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.234
Teacher spread0.226 · 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

Citations5
Published2016
Admission routes1
Has abstractyes

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