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Record W4383899707 · doi:10.5935/2525-5711.20230219

Surgical techniques for pleomorphic adenoma in the hard palate

2023· article· en· W4383899707 on OpenAlexaff
Luana Queila Rodrigues, Vinícius Teixeira Silva, Caroline Leone, Wladimir Gushiken de Campos, Celso Augusto Lemos

Bibliographic record

VenueJORDI - Journal of Oral Diagnosis · 2023
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Tumors Diagnosis and Treatment
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal
Fundersnot available
KeywordsPleomorphic adenomaHard palateMedicineComputer scienceSurgeryPathologySalivary gland

Abstract

fetched live from OpenAlex

Objective: To report a case of pleomorphic adenoma that was surgically removed and to describe the surgical technique available to remove this lesion. Case Report: A male patient, caucasian, 46 years old, with a 4-year history of pleomorphic adenoma. He mentioned that he went to other services for treatment, but without success. He came at our service for treatment with tumoral excision. Local anesthesia was performed with mepivacaine with a vasoconstrictor and tumoral excision was performed with the overlying mucosa and the periosteal region to avoid recurrence. The patient has been under postoperative follow-up for two years without recurrence. Conclusion: Pleomorphic adenoma is a benign tumor and presents as a submucosal mass of slow growth. The ideal treatment for the Pleomorphic Adenoma tumor is the total excision of the lesion with the removal of the mucosa covering the region to avoid recurrence.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.071
GPT teacher head0.348
Teacher spread0.278 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

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