bgpt-paper-search

This Skill searches full-text scientific papers and returns structured experimental data like methods, results, and sample sizes. It streamlines evidence synthesis for systematic reviews and meta-analyses across biology, chemistry, and medicine.

Yes, this Skill extracts 25+ metadata fields including sample sizes, quality scores, methods, and results from full-text studies. It provides machine-readable data that goes beyond abstracts for evidence synthesis and meta-analyses.

Yes, this Skill requires access to the BGPT MCP server to search papers and extract structured experimental data. You must have this server configured in your environment to retrieve the 25+ metadata fields from full-text studies.

The best way to build evidence tables for systematic reviews is to extract structured experimental data from full-text papers. This Skill provides 25+ metadata fields, including methods and results, to generate rich, machine-readable evidence tables for clinical guidelines.

When extracting structured data for evidence synthesis, you can retrieve 25+ metadata fields including methods, results, sample sizes, and quality scores. These fields are extracted from full-text studies across biology, chemistry, medicine, and related fields.