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Arrhythmias in Cronkhite-Canada Syndrome

2025· article· en· W4410353531 on OpenAlexaboutno aff
Ryuzo Deguchi, Takashi Ueda, Masaya Sano, Hirohiko Sato, Erika Teramura, Jin Imai, Mia Fujisawa, Kota Tsuruya, Yoshitaka Arase, Tatehiro Kagawa

Bibliographic record

VenueInternal Medicine · 2025
Typearticle
Languageen
FieldComputer Science
TopicNatural Language Processing Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDermatologyGeneral surgery

Abstract

fetched live from OpenAlex

A 69-year-old man underwent upper and lower gastrointestinal endoscopic examinations for a detailed evaluation of diarrhea that had persisted for several months, which revealed multiple polyposis in the stomach, duodenum, colon, and terminal ileum. The histopathological findings also led to a diagnosis of Cronkhite-Canada syndrome (CCS). On admission, the patient had hypoalbuminemia and electrolyte abnormalities, including hypokalemia, and developed paroxysmal atrial fibrillation (Paf), although there were no apparent organic lesions in the heart. The patient's sinus rhythm was restored by electrical cardioversion, steroid therapy for CCS improved diarrhea symptoms and endoscopic findings, and the electrocardiogram findings were normal.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

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

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 head0.007
GPT teacher head0.268
Teacher spread0.261 · 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 designCase report
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
Published2025
Admission routes1
Has abstractyes

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