118155 20230519145543.0 doi 10.1371/journal.pone.0258993 sideral 126930 ART-2021-126930 eng Muñoz Soro J.F. A model for predicting court decisions on child custody 2021 Access copy available to the general public Unrestricted Awarding joint or sole custody is of crucial importance for the lives of both the child and the parents. This paper first models the factors explaining a court''s decision to grant child custody and later tests the predictive capacity of the proposed model. We conducted an empirical study using data from 1, 884 court rulings, identifying and labeling factual elements, legal principles, and other relevant information. We developed a neural network model that includes eight factual findings, such as the relationship between the parents and their economic resources, the child''s opinion, and the psychological report on the type of custody. We performed a temporal validation using cases later in time than those in the training sample for prediction. Our system predicted the court''s decisions with an accuracy exceeding 85%. We obtained easy-to-apply decision rules with the decision tree technique. The paper contributes by identifying the factors that best predict joint custody, which is useful for parents, lawyers, and prosecutors. Parents would do well to know these findings before venturing into a courtroom. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.752 2021 MULTIDISCIPLINARY SCIENCES 29 / 74 = 0.392 2021 Q2 T2 0.852 2021 Multidisciplinary 2021 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Serrano Cinca C. Universidad de Zaragoza (orcid)0000-0003-2596-9638 4002 230 Universidad de Zaragoza Dpto. Contabilidad y Finanzas Área Economía Finan. y Contab. 16, 10 (2021), e0258993[21 pp] PLoS One PLoS ONE 1932-6203 1242732 http://zaguan.unizar.es/record/118155/files/texto_completo.pdf Versión publicada 2359752 http://zaguan.unizar.es/record/118155/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:118155 articulos driver 2023-05-18-15:41:44 ARTICLE