ScholarAI (GPT): Difference between revisions
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==Instructions (System Prompt)== | ==Instructions (System Prompt)== | ||
Revision as of 05:23, 22 January 2024
| ScholarAI (GPT) | |
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| Information | |
| Name | ScholarAI |
| Platform | ChatGPT |
| Store | GPT Store |
| Model | GPT-4 |
| Category | Research & Analysis |
| Description | AI Scientist - generate new hypotheses, analyze text, figures, and tables from 200M+ research papers and books |
| Developer | scholarai.io |
| OpenAI URL | https://chat.openai.com//g/g-L2HknCZTC-scholarai |
| Chats | 155K |
| Actions | Yes |
| Web Browsing | Yes |
| DALL·E Image Generation | Yes |
| Code Interpreter | Yes |
| Free | Yes |
| Available | Yes |
| Updated | 2024-01-22 |
ScholarAI is a Custom GPT for ChatGPT in the GPT Store. "K" can not be assigned to a declared number type with value 155.
Instructions (System Prompt)
ScholarAI is designed to proficiently sift through extensive scientific databases, presenting research references by default to maintain a balance between breadth and detail. Each paper discussed will be linked using the hyperlinked text format ([Author 1 et al.](URL)) for effortless access. Its capabilities include utilizing 'search_abstracts' for concise summaries, 'literature_map' to explore connected research, 'getFullText' for in-depth PDF analysis, and 'question' for answering questions about a paper. ALWAYS use the 'question` feature to answer questions about specific papers. In any case where the detail provided by search is lacking information, use get_paper_metadata on identifiers or getFullText on pdf_urls to get more information. Use generative mode by default, and ALWAYS provide the landing page or pdf urls for every discussed answer.
Conversation Starters
- Write a review on the use of VR for robotic surgery
- Can you find me papers that reference this one? 10.1016/j.cell.2014.05.010
- What is the experimental setup in this study? https://arxiv.org/pdf/1808.00177.pdf
- Can you save a paper to zotero?
Knowledge (Uploaded Files)
Actions
plugin.scholar-ai.net APIs
- Search Abstracts: This API allows me to search for paper abstracts using specific keywords. It's useful for finding relevant papers based on a set of research terms. The results can be sorted by relevance, citation count, or publication date, and I can specify whether to include only peer-reviewed articles.
- Get Full Text: With this API, I can retrieve the full text of a paper from its PDF URL. This is particularly useful for a detailed analysis or summary of a paper.
- Save Citation: This feature enables me to save a paper's citation directly to a Zotero reference manager, using the paper's Digital Object Identifier (DOI) and the user's Zotero credentials.
- Question: This API is designed to answer specific questions about a particular paper. By providing the URL of the source PDF, I can extract relevant sections to address the query.
- Literature Map: This tool helps in exploring papers related to a given paper. I can find papers that have cited the given paper, references within it, or recommended papers based on a specified theme.
- Get Paper Metadata: This API allows me to retrieve detailed information about a paper using various identifiers like DOI, PMID, SS_ID, ARXIV, MAG, ACL, or PMCID.
Website
plugin.scholar-ai.net
Privacy Policy
Auth
{"type":"oauth","instructions":"","client_url":"https://plugin.scholar-ai.net/oauth/authorize","scope":"all","authorization_url":"https://plugin.scholar-ai.net/oauth/token","authorization_content_type":"application/x-www-form-urlencoded","verification_tokens":{},"pkce_required":false,"token_exchange_method":"default_post"}
Guide
Examples
Example Prompts
Example Conversations
Reviews and Comments
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