ScholarAI (GPT): Difference between revisions
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{{Agent infobox | {{Agent infobox | ||
|image = ScholarAI (GPT).png | |image = ScholarAI (GPT).png | ||
|Name = ScholarAI | |Name = ScholarAI | ||
|Platform = ChatGPT | |Platform = ChatGPT | ||
|Store = GPT Store | |Store = GPT Store | ||
|Model = GPT-4 | |Model = GPT-4 | ||
|Category = Research & Analysis | |Category = Research & Analysis | ||
|Description = AI Scientist - generate new hypotheses, analyze text, figures, and tables from 200M+ | |Description = AI Scientist - generate new hypotheses, analyze text, figures, and tables from 200M+ research papers and books | ||
|Third Party = | |Third Party = | ||
|Developer = scholarai.io | |Developer = scholarai.io | ||
| Line 12: | Line 12: | ||
|Website = | |Website = | ||
|Link = https://chat.openai.com//g/g-L2HknCZTC-scholarai | |Link = https://chat.openai.com//g/g-L2HknCZTC-scholarai | ||
| | |Chats = 155,000 | ||
|Knowledge = | |||
|Actions = Yes | |||
|Web Browsing = Yes | |||
|DALL·E Image Generation = Yes | |||
|Code Interpreter = Yes | |||
|Free = Yes | |Free = Yes | ||
|Price = | |Price = | ||
|Available = Yes | |Available = Yes | ||
|Working = | |Working = | ||
|Updated = 2024-01- | |Hidden = | ||
|Updated = 2024-01-22 | |||
}} | }} | ||
== | ==Instructions (System Prompt)== | ||
<pre> | <pre> | ||
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. | 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. | ||
</pre> | </pre> | ||
==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=== | |||
https://scholarai.io/privacy | |||
===Auth=== | |||
<pre> | |||
{"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"} | |||
</pre> | |||
==Guide== | ==Guide== | ||
Latest revision as of 12:03, 24 January 2024
| ScholarAI (GPT) | |
|---|---|
.png)
| |
| 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 | 155,000 |
| 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.
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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