We processed hundreds of millions of pages and found that a single accuracy metric is misleading. A model that's 98% accurate on 1,000 pages with 200 data elements each still produces 4,000 incorrect values. The real killers are broken reading order in multi-column layouts, shifted table columns, and lost cross-page context that silently corrupt datasets without throwing errors.