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Record W4311205741 · doi:10.1097/mcg.0000000000001807

Minimizing the Risks of Simethicone in Endoscope Reprocessing

2022· article· en· W4311205741 on OpenAlexaff
Tony Speer, Karen Vickery, Michelle J. Alfa, Roque Sáenz

Bibliographic record

VenueJournal of Clinical Gastroenterology · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMedical Device Sterilization and Disinfection
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsEndoscopeMedicineGuidelineEndoscopyMedical physicsSurgeryPathology

Abstract

fetched live from OpenAlex

This statement was written under the auspices of the World Gastroenterology Organization's Guidelines Committee. The authors are members of the Review Team of the WGO Endoscope Disinfection Guideline and have experience in endoscopy, endoscope reprocessing, and microbiology, including biofilms. During the preparation of the WGO Update on Endoscope Disinfection Guidelines, concerns about simethicone on endoscope channel surfaces compromising cleaning and disinfection were raised. Publications on simethicone, including modes of delivery, effectiveness, and risks, have been reviewed. The paper was written as a companion to the new guidelines with a focus on minimizing the risks of simethicone in endoscope reprocessing.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.156
GPT teacher head0.440
Teacher spread0.284 · 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 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

Citations8
Published2022
Admission routes1
Has abstractyes

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