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Record W2132004673 · doi:10.5858/arpa.2014-0132-ra

Esophagitis: Old Histologic Concepts and New Thoughts

2015· review· en· W2132004673 on OpenAlexaff
Andrea Grin, Catherine Streutker

Bibliographic record

VenueArchives of Pathology & Laboratory Medicine · 2015
Typereview
Languageen
FieldMedicine
TopicEosinophilic Esophagitis
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsEsophagitisMedicineEosinophilic esophagitisEsophagusReflux esophagitisSloughingPathologyDermatologyGastroenterologyInternal medicineDiseaseReflux

Abstract

fetched live from OpenAlex

CONTEXT: Inflammatory lesions of the esophagus are a diverse group, often with nonspecific histologic findings. These benign changes can produce diagnostic difficulties for pathologists. OBJECTIVE: To discuss the typical histologic findings of a variety of the most common causes of esophagitis (reflux, eosinophilic esophagitis, infections, medications) along with less common issues such as sloughing esophagitis and skin disorders involving the squamous mucosa. DATA SOURCES: The literature has been reviewed to discuss histologic definitions of current and developing issues in the area of esophagitis. CONCLUSIONS: Histologic features are not entirely sensitive and specific for inflammatory esophageal disorders. Awareness of these problems is essential; clinical and endoscopic information can be very useful in distinguishing among the various lesions.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.954
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.000
Bibliometrics0.0010.001
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.064
GPT teacher head0.374
Teacher spread0.311 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations29
Published2015
Admission routes1
Has abstractyes

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