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Surgical removal of large mucocele in a young patient: case report

2019· article· en· W2944334573 on OpenAlexaff
M. S. D. Costa, Carla Cristina dos Santos MARTINS, Marília Gabriela Corrêa Momesso, Ana Paula Rocha Carvalho Bernardes de Andrade, Renata Cristiane da Silva Molina, Paola Fernanda Leal Corazza

Bibliographic record

VenueRGO - Revista Gaúcha de Odontologia · 2019
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Tumors Diagnosis and Treatment
Canadian institutionsBibliographical Society of Canada
Fundersnot available
KeywordsMucoceleEnucleationMedicinePalpationLesionSurgeryDentistry

Abstract

fetched live from OpenAlex

ABSTRACT Mucocele is a term applied to the clinical manifestation of phenomena that may affect the minor salivary glands. There are different forms of treatment reported in the literature, including total enucleation. The objective of this study is to describe a surgical technique for removal of Mucocele in a teenage patient. A 16-years-old, female, attended the sector of Pediatric Dentistry of Camilo Castelo Branco University - campus São Paulo / SP. The patient’s main complaint was “a bubble in the mouth that punchs and fills again, feeling salty taste.” At the clinical examination, a circumscribed, mucosa-like, floating-palpation lesion was observed, with a 1.7 cm diameter in the lower lip, with characteristics similar to Mucocele. In the planning of the case, we opted for the surgical removal treatment with anatomopathological analysis. The prognosis for the surgical removal of the lesion was very favorable due to some established criteria: age of the patient, location, depth and size of the lesion.

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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0040.002
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 head0.013
GPT teacher head0.290
Teacher spread0.277 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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