A dropin peak height model
                        
                        
                            - Submitting institution
 
                            - 
                                Aston University
                                
 
                            
 
                            - Unit of assessment
 
                            - 11 - Computer Science and Informatics
 
                            - Output identifier
 
                            - 44903587
 
                            - Type
 
                            - D - Journal article
 
                                - DOI
 
                                - 
                                        10.1016/j.fsigen.2014.02.005
                                
 
                                - Title of journal
 
                                - Forensic Science International: Genetics
 
                                - Article number
 
                                - -
 
                                - First page
 
                                - 80
 
                                - Volume
 
                                - 11
 
                                - Issue
 
                                - 1
 
                                - ISSN
 
                                - 1872-4973
 
                                - Open access status
 
                                - Out of scope for open access requirements
 
                            - Month of publication
 
                            - March
 
                            - Year of publication
 
                            - 2014
 
                            - URL
 
                            - 
-                            
 
                            - Supplementary information
 
                            - 
-                            
 
                            - Request cross-referral to
 
                            - -
 
                            - Output has been delayed by COVID-19
 
                            - No
 
                            - COVID-19 affected output statement
 
                            - -
 
                            - Forensic science
 
                            - No
 
                            - Criminology
 
                            - No
 
                            - Interdisciplinary
 
                            - No
 
                            - Number of additional authors
 
                            - 
                                0
                            
 
                            - Research group(s)
 
                            - 
                                        
A - Aston Institute of Urban Technology and the Environment (ASTUTE)
                             
                                - Citation count
 
                                - 13
 
                            - Proposed double-weighted
 
                            - No
 
                            - Reserve for an output with double weighting
 
                            - No
 
                            - Additional information
 
                            - The statistical model in the paper is an important component of the statistical method for assigning evidential weight to forensic DNA-profiles. The model was implemented in the probabilistic genotyping system (PGS) LiRa-2.0 and has been used by Eurofins to report 4000 calculations in court since June 2018 (Eurofins, Sr Software Engineer). LiRa-2.0 has been accredited by the United Kingdom accreditation service
(https://www.ukas.com/wp-content/uploads/schedule_uploads/00002/10007Testing%20Multiple.pdf). Courts expect the use of a PGS in a DNA case, making LiRa-2.0 a crucial system. Using LiRa-2.0 in a case is chargeable to the police, therefore this model has a financial value (>£10,000 so far).
 
                            - Author contribution statement
 
                            - -
 
                            - Non-English
 
                            - No
 
                            - English abstract
 
                            - -