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Update app.py
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app.py
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@@ -573,9 +573,21 @@ with gr.Blocks(title="Paper Reviewer Email Extractor") as demo:
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gr.Markdown("""
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# 📚 Paper Reviewer Email Extractor
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> **
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""")
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gr.Markdown("""
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# 📚 Paper Reviewer Email Extractor
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> **Background & Rationale:**
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> When submitting your papers to biomedical journals, the submission system might request “suggested reviewers”. In some journals, this step is mandatory, needing the input of this information which typically includes the name, affiliation, and email address of the suggested reviewer. While some journals may request a limited number of suggestions (e.g., three or four), others may request up to ten.
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> If this is a field in which you have experience or are acquainted with several individuals who may be willing to serve as reviewers, providing their information may not pose a significant challenge. However, if this is a novel field, you may not be familiar with many names or simply prefer not to burden your colleagues with this potential task. In such cases, you may need to swiftly identify a few potential reviewer suggestions.
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> A convenient solution is to obtain the contact information of the authors of the papers you have cited in your manuscript. Arguably, if you have cited their work, it is likely that they are experts in this field and may be willing to serve as a reviewer. Additionally, if these are unfamiliar names, this would also assist in compiling a list of unbiased reviewers without conflicts of interest who can review your work.
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> This application will assist you in obtaining a list of potential “suggested reviewers”. Simply paste the list of references from your manuscript, and it will output the names of the authors and their emails and affiliations when available in PubMed. Copy the names, email addresses, and affiliation information when submitting your manuscript.
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> **Instructions:**
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1. Paste the list of references from your manuscript. The references can be in any format. The system should be able to identify the titles to run a PubMed search to check when the email address is available.
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2. PubMed Delay. To be considered with the PubMed API, consider giving at least five seconds between each call. This may make your request take longer, but it will be considerate with the API and other users.
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3. PubMed Max Results. The number of results that will be extracted from the PubMed search.
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4. LLM max retries. If the LLM encounters an issue, it will attempt to find an answer multiple times before it throws an error.
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5. LLM retry delay. Seconds the LLM should wait between retries.
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> This app uses gemini-2.5-flash.
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""")
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