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The caution about accuracy is correctly attributed to the article. Paraphrasing the source's 'high degree of automobility' as 'high risk' is reasonable.","excerpt":"The Organization for Economic Cooperation and Development (OECD) has released a major report analyzing the impact of automation on jobs in 32 countries."},{"dimension":"summary","status":"pass","explanation":"The title, summary and question accurately convey the article: the new OECD estimate, its definition of highly automatable, the 32 percent transformation figure, the conflicting earlier estimates and the publication's caveat. Key terms are explained in plain language. The question follows naturally from the source's point about divergent predictions.","excerpt":"predictions like these aren’t known for their accuracy. In fact, when we compiled all of the studies we could on the subject, we found there are about as many predictions as there are experts."},{"dimension":"date","status":"pass","explanation":"April 2, 2018 matches the UTC day of originalPublished (2018-04-02T20:48:02Z). The evidence kind is publisher-page, so no archive disclosure is required. Forecasts are reported as attributed estimates. The reading does not use the later Most Popular sidebar. The page was edited in 2022, but every cited passage comes from the article body, which is plainly the original 2018 piece, and the limitations disclose the edit.","excerpt":"This story first appeared in our future of work newsletter, Clocking In."},{"dimension":"support","status":"pass","explanation":"Each claim matches an exact source passage: the 14 percent highly automatable figure, the 32 percent transformation figure, the 2016 OECD versus 2013 Frey and Osborne contrast, and the accuracy caveat. 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