Jove
Visualize
Contact Us

Related Concept Videos

The Small x Assumption02:20

The Small x Assumption

46.5K
If a reaction has a small equilibrium constant, the equilibrium position favors the reactants. In such reactions, a negligible change in concentration may occur if the initial concentrations of reactants are high and the Kc value is small. In such circumstances, the equilibrium concentration is approximately equal to its initial concentration.  This estimation can be used to simplify the equilibrium calculations by assuming that some equilibrium concentrations are equal to the initial...
46.5K
GTPases and their Regulation02:14

GTPases and their Regulation

2.4K
2.4K
The Scientific Method01:32

The Scientific Method

244.2K
The scientific method is a detailed, empirical problem-solving process used by biologists and other scientists. This iterative approach involves formulating a question based on observation, developing a testable potential explanation for the observation (called a hypothesis), making and testing predictions based on the hypothesis, and using the findings to create new hypotheses and predictions.
Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...
244.2K
Transgenic Plants02:50

Transgenic Plants

7.4K
Recombinant DNA technology called transgenesis is often used to add a foreign gene or remove a detrimental gene from an organism. Such genetically modified organisms are called transgenic organisms.
The first-ever transgenic plant was a tobacco plant developed in 1983 that showed resistance against the tobacco mosaic virus. Since then, many transgenic plants have been developed and commercialized for improving the agricultural, ornamental, and horticultural value of a crop plant. Transgenic...
7.4K
Guidelines for Writing Outcome01:11

Guidelines for Writing Outcome

3.0K
When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
3.0K
Gas Chromatography–Mass Spectrometry (GC–MS)01:14

Gas Chromatography–Mass Spectrometry (GC–MS)

4.6K
Gas chromatography–mass spectrometry (GC–MS) is the combination of analytical techniques of gas chromatography and mass spectrometry in a single instrument for analyzing a mixture of compounds. The gas chromatograph separates the compounds in the mixture, and the mass spectrometer analyzes each compound separately to determine the molecular masses and molecular structures.
A gas chromatograph consists of a long, narrow capillary column with a polysiloxane coating on the inner wall....
4.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Feature Down-Selection to Improve Supervised Classification by Machine Learning on Mass Spectrometry Imaging Data.

Molecules (Basel, Switzerland)·2026
Same author

Quantitative determination of longitudinal CNS cholesterol loss during myelin damage and repair.

bioRxiv : the preprint server for biology·2026
Same author

Lipidomics in Children: Noninvasive Sebum Sampling in Children and Adults Allows for Assessment of Lipidomic Differences According to Age, Sex, and Biological Relatedness.

Analytical chemistry·2026
Same author

Exploring Sample Storage Conditions for the Mass Spectrometric Analysis of Extracted Lipids from Latent Fingerprints.

Biomolecules·2025
Same author

Groomed Fingerprint Sebum Sampling: Reproducibility and Variability According to Anatomical Collection Region and Biological Sex.

Molecules (Basel, Switzerland)·2025
Same author

Carnosine Mitigates Cognitive Impairment and Dopamine Release in an Okadaic Acid-Induced Zebrafish Model with Alzheimer's Disease-like Symptoms.

ACS chemical neuroscience·2025
Same journal

Identifying Probable Dementia in Undiagnosed Black and White Americans Using Machine Learning in Veterans Health Administration Electronic Health Records.

Big data and cognitive computing·2025
Same journal

DLBCNet: A Deep Learning Network for Classifying Blood Cells.

Big data and cognitive computing·2024
Same journal

Google Street View Images as Predictors of Patient Health Outcomes, 2017-2019.

Big data and cognitive computing·2022
Same journal

Optimizations for Computing Relatedness in Biomedical Heterogeneous Information Networks: SemNet 2.0.

Big data and cognitive computing·2022
Same journal

CompositeView: A Network-Based Visualization Tool.

Big data and cognitive computing·2022
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Sep 9, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

570

Almost Nobody Is Using ChatGPT to Write Academic Science Papers (Yet).

Heather Desaire1, Madeline Isom1, David Hua1

  • 1Department of Chemistry, University of Kansas, Lawrence, KS 66045, USA.

Big Data and Cognitive Computing
|August 29, 2025
PubMed
Summary
This summary is machine-generated.

Undisclosed use of ChatGPT in scientific papers is low, estimated at 1-3% in introductions. Most scientists avoid AI for late-stage writing, indicating limited AI impact on mainstream journals.

Keywords:
AI text detectionChatGPTMDPIXGBoostacademic publicationethicsgenerative AI

More Related Videos

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

681
Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing
08:58

Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing

Published on: August 1, 2025

488

Related Experiment Videos

Last Updated: Sep 9, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

570
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

681
Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing
08:58

Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing

Published on: August 1, 2025

488

Area of Science:

  • Scientific publishing
  • Artificial Intelligence in Research
  • Academic Integrity

Background:

  • The rapid advancement of generative AI, including ChatGPT, raises concerns about its potential undisclosed use in scientific writing.
  • Previous methods for detecting AI-generated text often rely on obvious linguistic markers, which may not be present in sophisticated AI writing.

Purpose of the Study:

  • To quantify the prevalence of undisclosed ChatGPT use in scientific paper introductions.
  • To assess the extent to which generative AI is impacting mainstream scientific journals.

Main Methods:

  • A stylistics approach was employed to analyze 19,000 scientific introductions from ten MDPI journals published in 2023 and early 2024.
  • The methodology focused on detecting AI-generated text without relying on explicit AI-related phrases.

Main Results:

  • An estimated 1-3% of the analyzed introductions showed evidence of undisclosed ChatGPT use for writing or significant editing.
  • The rate of undisclosed AI writing was consistent across the selected MDPI journals.
  • No significant pollution of mainstream journals by generative AI was detected.

Conclusions:

  • Generative AI, specifically ChatGPT, is not yet widely adopted for late-stage writing or editing by the majority of scientists.
  • The study provides the first systematic evidence of detecting undisclosed AI writing in published manuscripts, suggesting a cautious approach by researchers.
  • Current AI integration into scientific publishing appears limited, with scientists largely remaining hesitant to use these tools extensively.