ScholarAI (GPT): Difference between revisions

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{{Agent infobox
{{Agent infobox
|image = ScholarAI (GPT).png
|image = ScholarAI (GPT).png
|Name = ScholarAI (GPT)
|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+ scientific papers and books
|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
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|Website =  
|Website =  
|Link = https://chat.openai.com//g/g-L2HknCZTC-scholarai
|Link = https://chat.openai.com//g/g-L2HknCZTC-scholarai
|Conversations =  
|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 = Yes
|Working =  
|Updated = 2024-01-12
|Hidden =
|Updated = 2024-01-22
}}
}}
==How to Create {{PAGENAME}}==
==Instructions (System Prompt)==
===Intructions (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===
==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===
==Knowledge (Uploaded Files)==


===Actions===
==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==