Assessment of the information quality of chatbot technologies on orthodontic miniscrews
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| Auteurs principaux: | , , , |
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| Format: | Recurso digital |
| Langue: | anglais |
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Zenodo
2025
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| _version_ | 1866902196814086144 |
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| author | BAŞ YAMAÇ, BAŞAK Akcar, Rojda Eryılmaz Şarkan, ipek Arslan, Can |
| author_facet | BAŞ YAMAÇ, BAŞAK Akcar, Rojda Eryılmaz Şarkan, ipek Arslan, Can |
| contents | <p>This dataset contains Likert and Discern scores provided by three researchers to evaluate the most used chatbots ChatGPT-3.5, ChatGPT-4 (OpenAI), Google Bard (Google LLC), and Bing Chat (Microsoft Corp). The dataset supports the findings reported in the article “Assessment of the information quality of chatbot technologies on orthodontic miniscrews“.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17467514 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Assessment of the information quality of chatbot technologies on orthodontic miniscrews BAŞ YAMAÇ, BAŞAK Akcar, Rojda Eryılmaz Şarkan, ipek Arslan, Can Artificial Iintelligence. Large language models. TAD. ChatGPT <p>This dataset contains Likert and Discern scores provided by three researchers to evaluate the most used chatbots ChatGPT-3.5, ChatGPT-4 (OpenAI), Google Bard (Google LLC), and Bing Chat (Microsoft Corp). The dataset supports the findings reported in the article “Assessment of the information quality of chatbot technologies on orthodontic miniscrews“.</p> |
| title | Assessment of the information quality of chatbot technologies on orthodontic miniscrews |
| topic | Artificial Iintelligence. Large language models. TAD. ChatGPT |
| url | https://doi.org/10.5281/zenodo.17467514 |