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Capsule Endoscopy for the Diagnosis of Suspected Small Bowel Bleeding

2023· article· en· W4385985008 on OpenAlexaboutno aff
P. P. Polyakov, Anar Y. Alimetov, A. V. Onopriev, Andrey V. Avakimyan, А. Х. Каде, С. А. Занин, E. S. Zanina, Z. S. Popov, А. И. Трофименко, Zinaida Jndoyan, Ashot Avagimyan

Bibliographic record

VenueInnovative medicine of Kuban · 2023
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Bleeding Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsCapsule endoscopyEsophagogastroduodenoscopyMedicineEndoscopyGastrointestinal bleedingObscure gastrointestinal bleedingGeneral surgeryGastroenterologyColonoscopyRadiologyInternal medicineColorectal cancer

Abstract

fetched live from OpenAlex

This review discusses the role of capsule endoscopy in diagnosing suspected small bowel bleeding and compares guidelines of the European Society of Gastrointestinal Endoscopy (ESGE), the American College of Gastroenterology (ACG), the American Society for Gastrointestinal Endoscopy (ASGE), the Canadian Association of Gastroenterology (CAG), and the consensus document of 4 Japanese medical societies. European and North American experts recommend capsule endoscopy as a first-line diagnostic modality for suspected small bowel bleeding without life-threatening signs in adult patients when ileocolonoscopy and esophagogastroduodenoscopy failed to be informative. Japanese experts, on the contrary, prefer cross-sectional imaging “from the chest to the pelvis” and consider capsule endoscopy as an alternative.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.078
GPT teacher head0.338
Teacher spread0.260 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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