{"best_oa_location":{"endpoint_id":null,"evidence":"deprecated","host_type":"publisher","is_best":true,"license":"cc-by","oa_date":"2026-11-09","pmh_id":null,"repository_institution":null,"updated":"deprecated","url":"https://doi.org/10.1073/pnas.2611349123","url_for_landing_page":"https://doi.org/10.1073/pnas.2611349123","url_for_pdf":null,"version":"publishedVersion"},"data_standard":2,"doi":"10.1073/pnas.2611349123","doi_url":"https://doi.org/10.1073/pnas.2611349123","first_oa_location":{"endpoint_id":null,"evidence":"deprecated","host_type":"publisher","is_best":true,"license":"cc-by","oa_date":"2026-11-09","pmh_id":null,"repository_institution":null,"updated":"deprecated","url":"https://doi.org/10.1073/pnas.2611349123","url_for_landing_page":"https://doi.org/10.1073/pnas.2611349123","url_for_pdf":null,"version":"publishedVersion"},"genre":"journal-article","has_repository_copy":true,"is_oa":true,"is_paratext":false,"journal_is_in_doaj":false,"journal_is_oa":false,"journal_issn_l":"0027-8424","journal_issns":"0027-8424,1091-6490","journal_name":"Proceedings of the National Academy of Sciences","oa_locations":[{"endpoint_id":null,"evidence":"deprecated","host_type":"publisher","is_best":true,"license":"cc-by","oa_date":"2026-11-09","pmh_id":null,"repository_institution":null,"updated":"deprecated","url":"https://doi.org/10.1073/pnas.2611349123","url_for_landing_page":"https://doi.org/10.1073/pnas.2611349123","url_for_pdf":null,"version":"publishedVersion"},{"endpoint_id":"ca8f8d56758a80a4f86","evidence":"deprecated","host_type":"repository","is_best":false,"license":null,"oa_date":"2026-11-09","pmh_id":"oai:arXiv.org:2405.17044","repository_institution":"Cornell University","updated":"deprecated","url":"https://arxiv.org/pdf/2405.17044","url_for_landing_page":"https://arxiv.org/abs/2405.17044","url_for_pdf":"https://arxiv.org/pdf/2405.17044","version":"submittedVersion"},{"endpoint_id":null,"evidence":"deprecated","host_type":"repository","is_best":false,"license":null,"oa_date":"2026-11-09","pmh_id":null,"repository_institution":"Cornell University","updated":"deprecated","url":"https://doi.org/10.48550/arxiv.2405.17044","url_for_landing_page":"https://doi.org/10.48550/arxiv.2405.17044","url_for_pdf":null,"version":null}],"oa_locations_embargoed":[],"oa_status":"hybrid","published_date":"2026-11-09","publisher":"National Academy of Sciences","title":"Generating interesting scientific ideas using knowledge graphs and LLMs: Evaluations with 100 research group leaders","updated":"2026-11-10T14:03:09Z","year":2026,"z_authors":[{"author_position":"first","is_corresponding":false,"raw_affiliation_strings":["Institute of Condensed Matter Theory and Optics, Faculty of Physics and Astronomy, Friedrich Schiller University Jena","Max Planck Institute for the Science of Light"],"raw_author_name":"Xuemei Gu"},{"author_position":"last","is_corresponding":false,"raw_affiliation_strings":["Department of Computer Science, Faculty of Science, University of T\u00fcbingen","Max Planck Institute for the Science of Light"],"raw_author_name":"Mario Krenn"}]}