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Record W4226391358 · doi:10.1002/9781119600527.ch96

Endoscopic mucosal biopsy: histopathological interpretation

2022· other· en· W4226391358 on OpenAlexaboutno aff
Antonia R. Sepulveda, Sun A. Kim

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicGastrointestinal disorders and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMuscularis mucosaeLamina propriaSubmucosaStomachPathologyBiopsyMedicineEsophagusHyperplastic PolypGastrointestinal tractHyperplasiaAnatomyEpitheliumGastroenterologyInternal medicineColonoscopyColorectal cancer

Abstract

fetched live from OpenAlex

This chapter offers diverse images that provide an overview of endoscopic mucosal biopsy and aims to provide a synopsis through pictures and illustrations rather than through text. The innermost layer of the gastrointestinal (GI) tract is the mucosa, consisting of three components: epithelium, lamina propria, and muscularis mucosae. In the esophagus, stomach, and small bowel, it is rich in lymphatics whereas it is less so in the lower GI tract. The muscularis propria is the main wall of the GI tract and is composed of an inner circular and outer longitudinal layer of smooth muscle. The histological appearance of hyperplastic polyps overlaps significantly with: conditions of generalized gastric mucosal hyperplasia (Ménétrier disease; Cronkhite–Canada syndrome), and hamartomatous polyps and syndromes involving the stomach. Multiple GI tract and cutaneous lipomas are known in patients with ganglioneuromas of the colon but most lipomas of the colon are sporadic lesions centered around the submucosa.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.007

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 head0.267
Teacher spread0.254 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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