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AI evidence extraction

Using ChatGPT to conduct a literature review

Michael Haman, Milan Školník · Accountability in Research · 2023

AI-generated evidence extraction, verified across multiple analytical personas. Not a substitute for the peer-reviewed original.

9/10
Relevance
0/4
Quality (LMQS)
I
Evidence
150
Citations
5.34
FWCI
Top 10%
Impact

This is an AI analysis. Read the peer-reviewed original at the publisher: https://doi.org/10.1080/08989621.2023.2185514

Methodology & findings

Main result

Unable to extract. The provided document contains only metadata and an incomplete abstract consisting of image resizing instructions ("Click to increase image size Click to decrease image size"), with no substantive content presenting findings from the paper.

Reports effect sizes and confidence intervals.

Research paradigm

interpretivist/argumentative

Author conclusions

Unable to extract - the provided document contains only image navigation text ("Click to increase image sizeClick to decrease image size") with no substantive conclusions or verbatim quotes available.

Risk of bias

Narrative review design lacks systematic search protocol, increasing risk of selection bias; Single reference listed suggests incomplete or unavailable full text; No quality assessment framework evident for included sources

Limitations

  • Unable to extract - the provided document contains only image navigation text with no stated limitations or verbatim quotes available.
Data: not_statedCode: not_statedExtracted from: pdfAgreement 93%

Explore related topics

Systematic Review AutomationLiterature DiscoveryLiterature Review

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