Evaluating Paper Relevance

Paper screening uses a two-stage workflow: Stage 1 scores abstracts for relevance (0-10 scale), Stage 2 extracts targeted data from full texts. This skill automates both stages, fetching open-access or paywalled papers via PMC/DOI and Unpaywall, then organizes findings in a structured summary for domains like medicinal chemistry, genomics, and computational methods.

Yes. The skill systematically screens large paper sets by applying abstract scoring first, then deep-diving into full text only for promising results. It automatically retrieves papers (including paywalled ones), extracts specific measurements or datasets, and consolidates results in SUMMARY.md, eliminating manual full-text review of irrelevant papers.

Provide PMIDs or paper identifiers with your data request (e.g., 'evaluate these papers for IC50 values'). The skill scores abstracts first to filter candidates, then retrieves full text automatically and extracts structured data—measurements, protocols, datasets—organized by paper, reducing extraction time from hours to minutes.

The skill integrates Unpaywall checks and uses ChEMBL for curated data lookups. When full text isn't freely available through PMC or DOI, Unpaywall identifies legal free versions. If no free version exists, the skill documents unavailable papers so you know which require institutional access or manual retrieval.

Yes. The skill applies to literature screening across medicinal chemistry, genomics, ecology, and computational methods. Abstract scoring and data extraction logic generalizes across domains—you define the specific data or methods to search for, and the two-stage workflow adapts to your field's terminology and data types.

The skill scores abstracts and full texts against your criteria. Papers scoring low in Stage 1 are filtered out early. For Stage 2 deep-dives, if targeted data isn't found, the skill documents this in SUMMARY.md with reasoning—either the paper lacks the data, uses different terminology, or focuses on a different aspect, helping you identify search gaps or refine criteria.