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Record W2490074185 · doi:10.5858/arpa.2015-0176-rs

Cytomegalovirus Colitis: An Uncommon Mimicker of Common Colitides

2016· review· en· W2490074185 on OpenAlexaff
Nick Baniak, Rani Kanthan

Bibliographic record

VenueArchives of Pathology & Laboratory Medicine · 2016
Typereview
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCytomegalovirusColitisMedicineInflammatory bowel diseaseDiseaseContext (archaeology)PopulationImmunologyUlcerative colitisPathologyVirusHerpesviridaeViral diseaseBiology

Abstract

fetched live from OpenAlex

Cytomegalovirus latency, though ubiquitous in the human population, is known to cause colitis in both immunocompromised and immunocompetent hosts. Furthermore, the clinical, endoscopic, and histologic appearance of cytomegalovirus colitis can mimic that of inflammatory bowel disease, an extremely well-documented disease. In this context, though many reports have looked at inflammatory bowel disease with superimposed cytomegalovirus infection, less attention has been paid to cytomegalovirus as a primary cause of isolated colitis. Owing to the rarity of this phenomenon, it is important to consider this diagnosis and implement proper testing to avoid misdiagnosis and mismanagement.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.051
GPT teacher head0.382
Teacher spread0.331 · 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
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

Citations35
Published2016
Admission routes1
Has abstractyes

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