Cited by 6Emergency Medicine Education and ResearchEmergency and Acute Care StudiesTrauma and Emergency Care Studies

SAEM24 Abstracts

·2024·Academic Emergency Medicine

Integrity signals

Registry

Crossref · 10.1111/acem.14906

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The need to filter deprescribing criteria before proceeding was identified in preliminary research, which revealed that one of the main causes of discrepancies between physicians and large language models arose from ambiguous inclusion or exclusion conditions in deprescribing criteria.

    “The need to filter the criteria before proceeding with the study was identified in our preliminary research [20], which revealed that one of the main causes of discrepancies between physicians and LLMs arose from ambiguous inclusion or exclusion conditions in deprescribing criteria.”

Cites

Still being checked.

Cited by

Sorted by citations

Venue
Academic Emergency Medicine
Publisher
Wiley
Published
2024-04-27
Volume
31
Issue
S1
Pages
8-401
ISSN
  • 1069-6563 (ISSN-L)
  • 1553-2712
OpenAlex
W4395691802
Cited by
6
References
0
Citations by year
2026: 3 · 2025: 2 · 2024: 1
Type
journal article
Language
en
Open access
closed
Locations
  • Academic Emergency Medicine (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Emergency Medicine › Emergency Medicine Education and Research
  • Health Sciences › Medicine › Emergency Medicine › Emergency and Acute Care Studies
  • Health Sciences › Medicine › Emergency Medicine › Trauma and Emergency Care Studies
MeSH terms
Abstracting and Indexing, Congresses as Topic, Emergency Medicine, Humans

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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