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Record W2782141035 · doi:10.14740/gr898w

Esophageal Granular Cell Tumor: A Case and Review of the Literature

2017· article· en· W2782141035 on OpenAlexvenueno aff
Emmanuel Ofori, Daryl Ramai, Ying X. Lui, Madhavi Reddy

Bibliographic record

VenueGastroenterology Research · 2017
Typearticle
Languageen
FieldMedicine
TopicTumors and Oncological Cases
Canadian institutionsnot available
Fundersnot available
KeywordsPathologyMedicineGranular cell tumorHistopathologyNodule (geology)Gastrointestinal tractBiopsyImmunostainingImmunohistochemistryBiology

Abstract

fetched live from OpenAlex

Granular cell tumors (GCTs) are rare and benign tumors that can occur at any anatomical site. GCTs are thought to originate from nerve cells, particularly Schwann cells. Their name derives from the fact that an accumulation of cytoplasmic lysosomes imparts the tumor with a granular appearance. They are most commonly observed in the oral cavity, skin and subcutaneous tissue, breast, and respiratory tract. GCTs rarely affect the gastrointestinal tract. We report a 56-year-old female with a medical history of human immunodeficiency virus, hepatitis C, and cholelithiasis, who presented with abdominal pain. Upper endoscopy revealed a 1 - 2 cm solitary yellowish appearing nodule just distal to the GE junction. Biopsy of the nodule followed by histopathology was positive for S100, but negative for pancytokeratin immunostains. PAS staining highlighted cytoplasmic granules, further supporting the diagnosis of gastrointestinal GCT.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.296

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.047
GPT teacher head0.380
Teacher spread0.333 · 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 teacher head, 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

Citations11
Published2017
Admission routes1
Has abstractyes

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