{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T08:31:22Z","timestamp":1773477082565,"version":"3.50.1"},"reference-count":0,"publisher":"Project MUSE","issue":"3","license":[{"start":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T00:00:00Z","timestamp":1748390400000},"content-version":"vor","delay-in-days":116,"URL":"https:\/\/www.crossref.org\/license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["lib"],"published-print":{"date-parts":[[2025,2]]},"abstract":"<jats:p xml:lang=\"en\"> Abstract: Consensus is an artificial intelligence\u2013driven research assistant that helps users quickly discover the scientific consensus on research questions. It offers tools and options to help users further explore what the research says about topics of interest to them, pulling mainly from the Semantic Scholar database. Consensus performs best when users ask questions that can be answered with either yes or no. Its strength is in covering scientific research, while its coverage of social science or humanities topics is much more limited. This review looks at how Consensus works, issues related to searching, and other information that might help librarians decide whether to recommend Consensus to patrons.<\/jats:p>","DOI":"10.1353\/lib.2025.a961198","type":"journal-article","created":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T09:17:59Z","timestamp":1748423879000},"page":"344-354","source":"Crossref","is-referenced-by-count":1,"title":["Consensus: Using AI to Analyze Scientific Literature"],"prefix":"10.1353","volume":"73","author":[{"given":"Allison","family":"Faix","sequence":"first","affiliation":[]}],"member":"147","container-title":["Library Trends"],"original-title":[],"language":"en","deposited":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T09:18:00Z","timestamp":1748423880000},"score":1,"resource":{"primary":{"URL":"https:\/\/muse.jhu.edu\/article\/961198"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,2]]}},"URL":"https:\/\/doi.org\/10.1353\/lib.2025.a961198","relation":{},"ISSN":["1559-0682"],"issn-type":[{"value":"1559-0682","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2]]}}}