This paper is in the following e-collection/theme issue:

Theme Issue (2023): AI and Human Factors—Towards Successful Application of AI in Health Care (14) Generative Language Models Including ChatGPT (463) Viewpoints and Opinions on Human Factors (6) Natural Language Processing (787) Chatbots and Conversational Agents (615)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53559, first published .
The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research

The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research

The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research

Authors of this article:

Joshua Davis1, 2 Author Orcid Image ;   Liesbet Van Bulck3, 4 Author Orcid Image ;   Brigitte N Durieux1 Author Orcid Image ;   Charlotta Lindvall1, 5, 6 Author Orcid Image
Article Authors Cited by (30) Tweetations (2) Metrics

Journals

  1. Jalali M, Akhavan A. Integrating AI language models in qualitative research: Replicating interview data analysis with ChatGPT. System Dynamics Review 2024;40(3) View
  2. Ömür Arça D, Erdemir İ, Kara F, Shermatov N, Odacioğlu M, İbişoğlu E, Hanci F, Sağiroğlu G, Hanci V. Assessing the readability, reliability, and quality of artificial intelligence chatbot responses to the 100 most searched queries about cardiopulmonary resuscitation: An observational study. Medicine 2024;103(22):e38352 View
  3. Dehdab R, Brendlin A, Werner S, Almansour H, Gassenmaier S, Brendel J, Nikolaou K, Afat S. Evaluating ChatGPT-4V in chest CT diagnostics: a critical image interpretation assessment. Japanese Journal of Radiology 2024;42(10):1168 View
  4. Lin A, Zhu L, Mou W, Yuan Z, Cheng Q, Jiang A, Luo P. Advancing generative artificial intelligence in medicine: recommendations for standardized evaluation. International Journal of Surgery 2024;110(8):4547 View
  5. Banik D, Pati N, Sharma A. Systematic exploration and in-depth analysis of ChatGPT architectures progression. Artificial Intelligence Review 2024;57(10) View
  6. Qu Y, Wang J. Performance and biases of Large Language Models in public opinion simulation. Humanities and Social Sciences Communications 2024;11(1) View
  7. Makhortykh M, Sydorova M, Baghumyan A, Vziatysheva V, Kuznetsova E. Stochastic lies: How LLM-powered chatbots deal with Russian disinformation about the war in Ukraine. Harvard Kennedy School Misinformation Review 2024 View
  8. Mankowski M, Jaffe I, Xu J, Bae S, Oermann E, Aphinyanaphongs Y, McAdams‐DeMarco M, Lonze B, Orandi B, Stewart D, Levan M, Massie A, Gentry S, Segev D. ChatGPT Solving Complex Kidney Transplant Cases: A Comparative Study With Human Respondents. Clinical Transplantation 2024;38(10) View
  9. Tudino G, Qin Y. A corpus-driven comparative analysis of AI in academic discourse: Investigating ChatGPT-generated academic texts in social sciences. Lingua 2024;312:103838 View
  10. Zare S, Vafaeian S, Amini M, Farhadi K, Vali M, Golestani A. Comparing the performance of ChatGPT-3.5-Turbo, ChatGPT-4, and Google Bard with Iranian students in pre-internship comprehensive exams. Scientific Reports 2024;14(1) View
  11. Agaronnik N, Davis J, Manz C, Tulsky J, Lindvall C. Large Language Models to Identify Advance Care Planning in Patients With Advanced Cancer. Journal of Pain and Symptom Management 2025;69(3):243 View
  12. Dornburg A, Davin K. ChatGPT in foreign language lesson plan creation: Trends, variability, and historical biases. ReCALL 2024:1 View
  13. Hamilton Z, Aseem A, Chen Z, Naffakh N, Reizine N, Weinberg F, Jain S, Kessler L, Gadi V, Bun C, Nguyen R. Comparative Analysis of Generative Pre-Trained Transformer Models in Oncogene-Driven Non–Small Cell Lung Cancer: Introducing the Generative Artificial Intelligence Performance Score. JCO Clinical Cancer Informatics 2024;(8) View
  14. Jackson V, Vasilescu B, Russo D, Ralph P, Izadi M, Prikladnicki R, D’angelo S, Inman S, Andrade A, van der Hoek A. The Impact of Generative AI on Creativity in Software Development: A Research Agenda. ACM Transactions on Software Engineering and Methodology 2024 View
  15. Flanagan C, Trang K, Nacario J, Schneider P, Gasper W, Conte M, Wick E, Conway A. Large language models can accurately populate Vascular Quality Initiative procedural databases using narrative operative reports. Journal of Vascular Surgery 2025;81(4):973 View
  16. Gielens E, Sowula J, Leifeld P. Goodbye human annotators? Content analysis of social policy debates using ChatGPT. Journal of Social Policy 2025:1 View
  17. Zhong C, Luo X, Tan M, Chi J, Guo B, Tang J, Guo Z, Deng S, Zhang Y, Wu Y. Digital Health Interventions to Improve Mental Health in Patients With Cancer: Umbrella Review. Journal of Medical Internet Research 2025;27:e69621 View
  18. Kerr W, McFarlane K, Pucci G, Carns D, Israel A, Vighetti L, Pennell P, Stern J, Xia Z, Wang Y. Supervised machine learning compared to large language models for identifying functional seizures from medical records. Epilepsia 2025;66(4):1155 View
  19. Mane P. Accuracy and creativity analysis of ChatGPT in quantitative aptitude. The International Journal of Information and Learning Technology 2025;42(2):224 View
  20. Aster A, Ragaller S, Raupach T, Marx A. ChatGPT as a Virtual Patient: Written Empathic Expressions During Medical History Taking. Medical Science Educator 2025 View
  21. Yang Y, Ma L. Artificial intelligence in qualitative analysis: a practical guide and reflections based on results from using GPT to analyze interview data in a substance use program. Quality & Quantity 2025 View
  22. Fung M, Tang E, Wu T, Luk Y, Au I, Liu X, Lee V, Wong C, Wei Z, Cheng W, Tai I, Ho J, Wong J, Lang B, Leung K, Wong Z, Wu J, Wong C. Developing a named entity framework for thyroid cancer staging and risk level classification using large language models. npj Digital Medicine 2025;8(1) View
  23. Zhang Y, Fang J, Luo X, Lindsay D, Madre N, Paredes J, Penna A, Melley E, Garcia T. Exploring the efficacy of ChatGPT in understanding and identifying intimate partner violence. Family Relations 2025 View
  24. Agaronnik N, Davis J, Manz C, Tulsky J, Lindvall C. Feasibility Study for Using Large Language Models to Identify Goals-of-Care Documentation at Scale in Patients With Advanced Cancer. JCO Oncology Practice 2025 View
  25. Yeung A, Hammerle F, Behrens S, Matin M, Mickael M, Litvinova O, Parvanov E, Kletecka-Pulker M, Atanasov A. Online Information About Side Effects and Safety Concerns of Semaglutide: Mixed Methods Study of YouTube Videos. JMIR Infodemiology 2025;5:e59767 View
  26. Grilo A, Marques C, Corte-Real M, Carolino E, Caetano M. Assessing the Quality and Reliability of ChatGPT’s Responses to Radiotherapy-Related Patient Queries: Comparative Study With GPT-3.5 and GPT-4. JMIR Cancer 2025;11:e63677 View
  27. Abdurahman S, Salkhordeh Ziabari A, Moore A, Bartels D, Dehghani M. A Primer for Evaluating Large Language Models in Social-Science Research. Advances in Methods and Practices in Psychological Science 2025;8(2) View

Books/Policy Documents

  1. Pears M, Konstantinidis S. Disruptive Technologies in Education and Workforce Development. View
  2. Cosentino C, Gündüz-Cüre M, Marozzo F, Öztürk-Birim Ş. Discovery Science. View