Riva Fabiano, Champod Christophe
School of Criminal Sciences, Institute of Forensic Science, University of Lausanne, Quartier Sorge, CH-1015, Lausanne, Switzerland.
J Forensic Sci. 2014 May;59(3):637-47. doi: 10.1111/1556-4029.12382. Epub 2014 Feb 6.
Recent years have been characterized by a series of publications in the field of firearms investigation questioning the reliability and objectivity of such examination. This research investigates new solutions to decrease the subjective component affecting the evaluation that follows the comparison of impressions left by a firearm on the surface of spent cartridge cases. An automatic comparison system based on 3D measurements has been developed and coupled to a bivariate evaluative model allowing assigning likelihood ratios. Based on a dataset of 79 pistols (all SIG Sauer 9 mm Luger caliber), the system shows a very high discriminating power and the LRs that it provides are very indicative of the true state under both the prosecution and the defense propositions. For example, likelihood ratios exceeding a billion are predominantly obtained when impressions originating from the same source are compared. The system is also characterized by relatively low rates (≤ 1%) of misleading evidence depending on the firearm considered.
近年来,枪支调查领域有一系列出版物对这类检验的可靠性和客观性提出质疑。本研究探索新的解决方案,以减少影响对用过的弹壳表面枪支留下的痕迹进行比较后评估的主观因素。已开发出一种基于三维测量的自动比对系统,并与一个双变量评估模型相结合,可给出似然比。基于一个包含79把手枪(均为西格绍尔9毫米鲁格口径)的数据集,该系统显示出非常高的鉴别力,并且它给出的似然比在控方和辩方主张下都能很好地指示真实情况。例如,当比较来自同一来源的痕迹时,主要会得到超过十亿的似然比。根据所考虑的枪支不同,该系统产生误导性证据的比率也相对较低(≤1%)。