A critical reading of "COVID-19 Prediction Using Black-Box Based Pearson Correlation Approach"

This entry contains the materials for a critical reading of a paper published in Diagnostics, an MDPI journal screenshots of the zerogpt analysis of some parts of the paper, showing that abstract, introduction and methods are very likely generated with the help of chatgpt, while results and conclussions are mostly human turniting report of the overall paper showing a 23% of very likely AI generated text the paper as found in the Diagnostics site (just in case some changes happen unnoticed) rejection from preprints.org Waiting more than 4 months for a response... Finally, we received the acceptance in October 28, 2024, we include the proofs acknowledgements: project funded by the spanish MICIN with code PID2020-116346GB-I00/ MICIN/AEI/10.13039/501100011033

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-30
DOI
https://doi.org/10.5281/zenodo.8411144
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00
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article

A critical reading of "COVID-19 Prediction Using Black-Box Based Pearson Correlation Approach"

Zenodo (CERN European Organization for Nuclear Research)
COVID-19 diagnosis using AI
article

A critical reading of "COVID-19 Prediction Using Black-Box Based Pearson Correlation Approach"

article en

Abstract

This entry contains the materials for a critical reading of a paper published in Diagnostics, an MDPI journal screenshots of the zerogpt analysis of some parts of the paper, showing that abstract, introduction and methods are very likely generated with the help of chatgpt, while results and conclussions are mostly human turniting report of the overall paper showing a 23% of very likely AI generated text the paper as found in the Diagnostics site (just in case some changes happen unnoticed) rejection from preprints.org Waiting more than 4 months for a response... Finally, we received the acceptance in October 28, 2024, we include the proofs acknowledgements: project funded by the spanish MICIN with code PID2020-116346GB-I00/ MICIN/AEI/10.13039/501100011033

Zenodo (CERN European Organization for Nuclear Research)
University of the Basque Country (ES)
Quality Education
Openalex Percentile: Top 51%
COVID-19 diagnosis using AI
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