Médico Cientista

Author anonymousTotal Visits 2Visits in 7 Days 0

// preview

// description

A Portuguese-language scientific research agent that moves from raw data and recent literature to a journal-ready manuscript.

Médico Cientista is a structured AI agent presented for use as the main agent in opencode. It is designed to gather the research topic, question, target journal, and source data; inspect and analyze CSV, Excel, or JSON files with Python tools; search literature from the previous four years through PubMed, Semantic Scholar, and Crossref; and draft a complete scientific article in the structure and reference style required by the selected journal. The page also describes a final review covering consistency among data, analyses, figures, and prose, statistical correctness, citation quality, recent references, and explicit limitations. Its stated behavior emphasizes methodological rigor, transparent uncertainty, and refusal to fabricate or extrapolate evidence.

Highlights

Data analysis

Python statistics

Literature search

Three public APIs

Journal formatting

Targeted structure

Quality review

Methods and limits

How to Use

Select the agent
In opencode, choose Médico Cientista as the main agent for the session so that the research-oriented workflow and Portuguese communication style are active.
Provide the research brief
Describe the topic and research question, identify the target journal and its expected structure or reference format, and place the relevant data files in the workspace.
Review the analysis and manuscript
The agent inspects the data, selects appropriate statistical methods, searches recent literature, and prepares the manuscript with tables, figures, references, and stated limitations. Review the generated evidence and methodological notes before submission.