{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,17]],"date-time":"2025-05-17T04:04:31Z","timestamp":1747454671824,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685960","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T00:00:00Z","timestamp":1747267200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,15]]},"abstract":"<jats:p>Diversity in the research workforce is essential for addressing complex problems. Female investigators, along with individuals from diverse backgrounds and identities, generate novel, impactful, and innovative research, whereas biases may affect their chances of publication. In this article, we present ad hoc strategies for classifying biomedical manuscripts according to four dimensions (experimental designs, medical specialties, sample sizes and funding sources). This classification is intended to further explore how gender bias may affect publication acceptance by adjusting the analyses for these important confounders. 56 manuscripts were manually annotated by two experts to assess the performance of the models. The proposed strategies performed well (compared to the inter-annotator agreement) with accuracy scores of 75%, 78%, 78% and 82%, for the above-mentioned dimensions, respectively. Given the timely importance of such questions in research, we are planning to apply the categorization at the scale of MEDLINE.<\/jats:p>","DOI":"10.3233\/shti250475","type":"book-chapter","created":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:57:58Z","timestamp":1747385878000},"source":"Crossref","is-referenced-by-count":0,"title":["Manuscript Classification to Support the Analysis of Biases in Publication Opportunities"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9614-9293","authenticated-orcid":false,"given":"Luc","family":"Mottin","sequence":"first","affiliation":[{"name":"SIB Text Mining, Swiss Institute of Bioinformatics, Geneva, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9809-7741","authenticated-orcid":false,"given":"Julien","family":"Gobeill","sequence":"additional","affiliation":[{"name":"SIB Text Mining, Swiss Institute of Bioinformatics, Geneva, Switzerland"},{"name":"HES-SO\u2216HEG Gen\u00e8ve, Information Sciences, Geneva, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1020-1300","authenticated-orcid":false,"given":"Jeevanthi Liyana","family":"Pathirana","sequence":"additional","affiliation":[{"name":"SIB Text Mining, Swiss Institute of Bioinformatics, Geneva, Switzerland"},{"name":"HES-SO\u2216HEG Gen\u00e8ve, Information Sciences, Geneva, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1272-7640","authenticated-orcid":false,"given":"Nona","family":"Naderi","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Universit\u00e9 Paris-Saclay, CNRS, Laboratoire Interdisciplinaire des Sciences du Num\u00e9rique, Orsay, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0080-9451","authenticated-orcid":false,"given":"Ana\u00efs","family":"Mottaz","sequence":"additional","affiliation":[{"name":"SIB Text Mining, Swiss Institute of Bioinformatics, Geneva, Switzerland"},{"name":"HES-SO\u2216HEG Gen\u00e8ve, Information Sciences, Geneva, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8053-4672","authenticated-orcid":false,"given":"Khaoula Ben","family":"Messaoud","sequence":"additional","affiliation":[{"name":"Division of Clinical Epidemiology, University Hospitals of Geneva, Geneva, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6164-9693","authenticated-orcid":false,"given":"Angele","family":"Gayet-Ageron","sequence":"additional","affiliation":[{"name":"Division of Clinical Epidemiology, University Hospitals of Geneva, Geneva, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3374-2962","authenticated-orcid":false,"given":"Patrick","family":"Ruch","sequence":"additional","affiliation":[{"name":"SIB Text Mining, Swiss Institute of Bioinformatics, Geneva, Switzerland"},{"name":"HES-SO\u2216HEG Gen\u00e8ve, Information Sciences, Geneva, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Intelligent Health Systems \u2013 From Technology to Data and Knowledge"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250475","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:57:58Z","timestamp":1747385878000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250475"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,15]]},"ISBN":["9781643685960"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250475","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,15]]}}}