Research Assistant

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By Nicholas Barker

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( None Rating )

1K Action

✓ Data Analysis ✓ Browsing

About Research Assistant

A versatile assistant for academic, biomedical, and news research with arXiv, PubMed, and web browsing skills

June 02,2024

Information

GPTs Creator Nicholas Barker
GPT Updated June 02,2024
Updated June 03,2024

Capabilities

Code Interpreter ✓Data Analysis
Browsing ✓Real-Time Retrieval

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OpenAI‘s GPT Store Public

Timeline

Research Assistant

By Nicholas Barker

Research Assistant is inactive right now!

4.1

Ratings (45)

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What Can Research Assistant Do with ChatGPT?

This Gpts for researchers, academics, and news enthusiasts can access and retrieve the latest research findings and news articles.

Capabilities
Action

1. Function Calls

Field	Value
action_id	g-3a81c994da095b79d33052138e81661e89727abb
domain	eutils.ncbi.nlm.nih.gov
json_schema	{"openapi"=>"3.0.0", "info"=>{"title"=>"PubMed E-utilities API", "version"=>"1.0.0", "description"=>"Unofficial OpenAPI schema for the PubMed E-utilities API"}, "servers"=>[{"url"=>"https://eutils.ncbi.nlm.nih.gov/entrez/eutils/"}], "paths"=>{"/esearch.fcgi"=>{"get"=>{"summary"=>"ESearch - Text Searches", "description"=>"Responds to a text query with the list of matching UIDs in a given database (for later use in ESummary, EFetch or ELink), along with the term translations of the query.", "parameters"=>[{"name"=>"db", "in"=>"query", "required"=>true, "description"=>"Database to search. Example: 'pubmed', 'protein'.", "schema"=>{"type"=>"string"}}, {"name"=>"term", "in"=>"query", "required"=>true, "description"=>"Search query. Terms must be URL-encoded. Example: 'asthma[mesh]+AND+leukotrienes[mesh]'.", "schema"=>{"type"=>"string"}}], "responses"=>{"200"=>{"description"=>"Successful response", "content"=>{"application/xml"=>{"schema"=>{"type"=>"object", "properties"=>{"WebEnv"=>{"type"=>"string"}, "QueryKey"=>{"type"=>"string"}, "Count"=>{"type"=>"integer"}, "RetMax"=>{"type"=>"integer"}, "RetStart"=>{"type"=>"integer"}, "IdList"=>{"type"=>"array", "items"=>{"type"=>"integer"}}, "TranslationSet"=>{"type"=>"array", "items"=>{"type"=>"object", "properties"=>{"From"=>{"type"=>"string"}, "To"=>{"type"=>"string"}}}}, "QueryTranslation"=>{"type"=>"string"}}}}}}}, "operationId"=>"pubmed_esearch_get"}}, "/epost.fcgi"=>{"get"=>{"summary"=>"EPost - UID Uploads", "description"=>"Accepts a list of UIDs from a given database, stores the set on the History Server, and responds with a query key and web environment for the uploaded dataset.", "parameters"=>[{"name"=>"db", "in"=>"query", "required"=>true, "description"=>"Database where the UIDs are coming from. Example: 'pubmed'.", "schema"=>{"type"=>"string"}}, {"name"=>"id", "in"=>"query", "required"=>true, "description"=>"List of UIDs to post. UIDs should be comma-separated. Example: '19880808,19990999'.", "schema"=>{"type"=>"string"}}], "responses"=>{"200"=>{"description"=>"Successful response", "content"=>{"application/xml"=>{"schema"=>{"type"=>"object", "properties"=>{}}}}}}, "operationId"=>"pubmed_epost_get"}}, "/esummary.fcgi"=>{"get"=>{"summary"=>"ESummary - Document Summary Downloads", "description"=>"Responds to a list of UIDs from a given database with the corresponding document summaries.", "parameters"=>[{"name"=>"db", "in"=>"query", "required"=>true, "description"=>"Database from which the document summaries are requested. Example: 'pubmed'.", "schema"=>{"type"=>"string"}}, {"name"=>"id", "in"=>"query", "required"=>true, "description"=>"List of UIDs for which summaries are requested. UIDs should be comma-separated. Example: '19880808,19990999'.", "schema"=>{"type"=>"string"}}], "responses"=>{"200"=>{"description"=>"Successful response", "content"=>{"application/xml"=>{"schema"=>{"type"=>"object", "properties"=>{}}}}}}, "operationId"=>"pubmed_esummary_get"}}, "/efetch.fcgi"=>{"get"=>{"summary"=>"EFetch - Data Record Downloads", "description"=>"Responds to a list of UIDs in a given database with the corresponding data records in a specified format.", "parameters"=>[{"name"=>"db", "in"=>"query", "required"=>true, "description"=>"Database from which the data records are requested. Example: 'nuccore', 'protein'.", "schema"=>{"type"=>"string"}}, {"name"=>"id", "in"=>"query", "required"=>true, "description"=>"List of UIDs for which data records are requested. UIDs should be comma-separated. Example: '34577062,4885471'.", "schema"=>{"type"=>"string"}}, {"name"=>"rettype", "in"=>"query", "required"=>false, "description"=>"Type of data record to return. Example: 'fasta', 'abstract'.", "schema"=>{"type"=>"string"}}, {"name"=>"retmode", "in"=>"query", "required"=>false, "description"=>"Mode of data return. Example: 'xml', 'text'.", "schema"=>{"type"=>"string"}}], "responses"=>{"200"=>{"description"=>"Successful response", "content"=>{"application/xml"=>{"schema"=>{"type"=>"object", "properties"=>{}}}}}}, "operationId"=>"pubmed_efetch_get"}}, "/elink.fcgi"=>{"get"=>{"summary"=>"ELink - Entrez Links", "description"=>"Responds with related UIDs in the same or a different Entrez database, checks for specified links from UIDs, creates hyperlinks to primary LinkOut providers, or lists LinkOut URLs and attributes.", "parameters"=>[{"name"=>"dbfrom", "in"=>"query", "required"=>true, "description"=>"Database containing the input UIDs. Example: 'protein'.", "schema"=>{"type"=>"string"}}, {"name"=>"db", "in"=>"query", "required"=>true, "description"=>"Database for which to retrieve linked UIDs. Example: 'gene'.", "schema"=>{"type"=>"string"}}, {"name"=>"id", "in"=>"query", "required"=>true, "description"=>"List of UIDs for which to retrieve links. UIDs should be comma-separated. Example: '194680922,50978626'.", "schema"=>{"type"=>"string"}}], "responses"=>{"200"=>{"description"=>"Successful response", "content"=>{"application/xml"=>{"schema"=>{"type"=>"object", "properties"=>{}}}}}}, "operationId"=>"pubmed_elink_get"}}, "/egquery.fcgi"=>{"get"=>{"summary"=>"EGQuery - Global Query", "description"=>"Responds to a text query with the number of records matching the query in each Entrez database.", "parameters"=>[{"name"=>"term", "in"=>"query", "required"=>true, "description"=>"Text query for which the number of records is requested in each Entrez database. Terms must be URL-encoded. Example: 'asthma[mesh]+AND+leukotrienes[mesh]'.", "schema"=>{"type"=>"string"}}], "responses"=>{"200"=>{"description"=>"Successful response", "content"=>{"application/xml"=>{"schema"=>{"type"=>"object", "properties"=>{}}}}}}, "operationId"=>"pubmed_egquery_get"}}, "/espell.fcgi"=>{"get"=>{"summary"=>"ESpell - Spelling Suggestions", "description"=>"Retrieves spelling suggestions for a text query in a given database.", "parameters"=>[{"name"=>"db", "in"=>"query", "required"=>true, "description"=>"Database for which spelling suggestions are requested. Example: 'pubmed'.", "schema"=>{"type"=>"string"}}, {"name"=>"term", "in"=>"query", "required"=>true, "description"=>"Text query for which spelling suggestions are requested. Terms must be URL-encoded. Example: 'leukemia'.", "schema"=>{"type"=>"string"}}], "responses"=>{"200"=>{"description"=>"Successful response", "content"=>{"application/xml"=>{"schema"=>{"type"=>"object", "properties"=>{}}}}}}, "operationId"=>"pubmed_espell_get"}}, "/ecitmatch.cgi"=>{"get"=>{"summary"=>"ECitMatch - Batch Citation Searching in PubMed", "description"=>"Retrieves PubMed IDs (PMIDs) corresponding to a set of input citation strings.", "parameters"=>[{"name"=>"db", "in"=>"query", "required"=>true, "description"=>"Database to search for citations. Currently, only 'pubmed' is supported.", "schema"=>{"type"=>"string"}}, {"name"=>"term", "in"=>"query", "required"=>true, "description"=>"Citation strings for which PubMed IDs are requested. The format should match the PubMed citation format. Example: 'Proc Natl Acad Sci U S A. 2021 Jan 19;118(3):e2024857118.'", "schema"=>{"type"=>"string"}}], "responses"=>{"200"=>{"description"=>"Successful response", "content"=>{"application/xml"=>{"schema"=>{"type"=>"object", "properties"=>{}}}}}}, "operationId"=>"pubmed_ecitmatch_get"}}}}
auth	{"type":"none"}
privacy_policy_url	https://www.ncbi.nlm.nih.gov/home/about/policies/

2. Function Calls

Field	Value
action_id	g-687074438c89302027a70e03a6f66116500090d7
domain	export.arxiv.org
json_schema	{"openapi"=>"3.0.0", "info"=>{"title"=>"arXiv API", "version"=>"1.0.0", "description"=>"Unofficial OpenAPI schema for the arXiv API"}, "servers"=>[{"url"=>"https://export.arxiv.org/api"}], "paths"=>{"/query"=>{"get"=>{"summary"=>"Query the arXiv API", "description"=>"Retrieve articles and their metadata based on various search criteria.", "operationId"=>"queryArxiv", "parameters"=>[{"name"=>"search_query", "in"=>"query", "required"=>false, "schema"=>{"type"=>"string"}, "description"=>"A string that represents a search query used to find articles. If only 'search_query' is provided (and 'id_list' is blank or not given), the API will return results for each article that matches the search query."}, {"name"=>"id_list", "in"=>"query", "required"=>false, "schema"=>{"type"=>"string"}, "description"=>"A comma-delimited list of arXiv IDs. If only 'id_list' is provided (and 'search_query' is blank or not given), the API will return results for each article in 'id_list'. If both 'search_query' and 'id_list' are given, the API will return each article in 'id_list' that matches 'search_query'."}, {"name"=>"start", "in"=>"query", "required"=>false, "schema"=>{"type"=>"integer", "default"=>0}, "description"=>"The index of the first returned result, using 0-based indexing. This parameter is used for paging through results."}, {"name"=>"max_results", "in"=>"query", "required"=>false, "schema"=>{"type"=>"integer", "default"=>10}, "description"=>"The number of results returned by the query. The maximum number of results from a single call is limited to 30000 in slices of at most 2000 at a time. A request with 'max_results' > 30,000 will result in an HTTP 400 error."}, {"name"=>"sortBy", "in"=>"query", "required"=>false, "schema"=>{"type"=>"string"}, "description"=>"Determines the sorting field of the results. Can be 'relevance', 'lastUpdatedDate', or 'submittedDate'."}, {"name"=>"sortOrder", "in"=>"query", "required"=>false, "schema"=>{"type"=>"string"}, "description"=>"Determines the order of the results. Can be either 'ascending' or 'descending'."}], "responses"=>{"200"=>{"description"=>"Successful response", "content"=>{"application/xml"=>{"schema"=>{"type"=>"string"}}}}, "default"=>{"description"=>"Unexpected error", "content"=>{"application/xml"=>{"schema"=>{"type"=>"string"}}}}}}}}}
auth	{"type":"none"}
privacy_policy_url	https://info.arxiv.org/help/policies/privacy_policy.html

Capabilitiy	Function	Tools
Code Interpreter / Data Analysis	Execute Python code for automation, calculations, and data analysis.	Python
Web Browsing	Real-Time Access and search the internet for information, articles, and data.	Browser

FAQs

Currently, this GPTs is not free and is available exclusively to ChatGPT Plus users.

Yes, besides requiring a ChatGPT Plus membership, if you use the GPT-4 model (with DALL·E, browsing, and data analysis), the limit is 25 'GPTs' messages / 3 hours, More limited than normal 40 GPT4 responses per 3 hours,

The enterprise version of ChatGPT is, 100 GPT-4 messages per 3 hours.

Research Assistant is publicly available in the upcoming OpenAI's GPT Store, making it widely accessible to anyone interested in using this advanced ChatGPT.

Research Assistant is owned by Nicholas Barker, who has also created 9 other GPTs, namely Advanced GPT Builder, Daily Journaling Assistant, Python, Personal Relationship Mediator, GPT Group Chat.

no, we found no file uploaded. You can check the function section to see if there are other unique features. If not, this GPTs is just a simple prompt engineering, and its knowledge base is synchronized with the general ChatGPT, latest training up to April 2023.

No, only Nicholas Barker can edit this GPTs. They can configure and update GPTs through GPT Builder at https://chat.openai.com/gpts/editor/g-q1CriZC64. The last modification date of Research Assistant was 2024-06-02 04:21:26 UTC.

Yes, conversations with Research Assistant will be recorded. OpenAI keeps these records, and you can share your conversations via a link. Refer to OpenAI's user privacy and data security policies for more information.

Yes, if Nicholas Barker selected "Use conversation data in your GPT to improve our models" (in the GPTs Configure pages of Additional Settings), it means your conversations will be used for training and will influence this GPT AI agent.