ma-fulltext-management

name	ma-fulltext-management
description	Collect and manage full-text PDFs for included studies, track provenance, and prepare documents for extraction. Use when moving from screening to data extraction.

Ma Fulltext Management

Overview

Gather full texts, validate completeness, and prepare a clean manifest.

Inputs

• 03_screening/round-01/included.bib

Outputs

• 04_fulltext/manifest.csv
• 04_fulltext/unpaywall_results.csv (optional OA lookup)
• 04_fulltext/fulltext_decisions.csv (Stage 04b — full-text eligibility screening)
• 04_fulltext/ft_agreement.md (Stage 04b — full-text inter-rater agreement)
• 04_fulltext/README.md
• 04_fulltext/ PDF files
• 04_fulltext/previews/ (optional PDF image previews)

Workflow (Web-First Hybrid — Default)

⚠️ Default approach: Web-based extraction first, PDF retrieval only for gaps.

Phase 1: Web-Based Data Gathering (Default — No PDFs Needed)

1. Create 04_fulltext/ and build manifest.csv with record_id, DOI, PMID, title, and access notes.
   • Read from 03_screening/round-01/included.bib
   • Use references/manifest-template.csv as template
   • Write to 04_fulltext/manifest.csv (columns: record_id, DOI, PMID, title, access_method, confidence_score)
2. Automatically run web extraction for all included studies using Claude Code's WebSearch and WebFetch tools: