Stratified validation reporting #6
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Phase 2 web scraping
…lit_agent into stratified-validation-reporting
- Revert validation demo to 100 URL sample size for cost control (377 URLs was 2.36x more expensive than expected) - Fix unit test assertion to expect PDF_EXTRACTION instead of API_LOOKUP for PDFExtractor - Maintain stratified validation reporting benefits while keeping performance manageable The full 377 URL corpus proved much more complex than sampled URLs: - More PDFs requiring LLM extraction - More web scraping fallbacks for failed Phase 1 extractions - Research data repositories and paywalled content 100 URL sampling provides statistically valid stratified analysis without performance penalty. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
- Add domain blacklist for 8 problematic publishers (ScienceDirect, MDPI, Oxford Academic, etc.) - Implement two-stage web search approach: general search + targeted PubMed search - Add comprehensive fallback system with URL fragment extraction and metadata parsing - Include NCBI E-utilities integration for complete identifier retrieval (PMID, DOI, PMC) - Transform 66 blocked domain failures into potential successes - Update validation demo path to validation_workspace/demo_reports 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
Removed Python 3.9 support
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