分组方法是否考虑了已自动迁移到 IUCLID 6 的横向终点研究记录？

分组方法是否考虑了已自动迁移到 IUCLID 6 的横向终点研究记录？

Does the grouping approach consider read-across endpoint study records that have been automatically migrated to IUCLID 6?

分组算法考虑了注册档案中的所有信息，包括迁移后的横向参照终点研究记录。然而，与已提交并受益于 IUCLID 6 附加功能的档案相比，此类信息的清晰度显著降低。此版本的 IUCLID 使用两个独立的终点研究记录（分别对应源物质和目标物质），更清晰地呈现横向参照信息。此外，由于 IUCLID 5 中最初提交的测试材料信息质量不佳，自动迁移可能会在测试材料标识符中引入伪影。在这种情况下，分组算法的准确性可能会降低。为了提高效率，建议注册人考虑更新其注册档案，以便手动检查迁移的正确性并使用 IUCLID 6 的新功能。

The grouping algorithms consider all information in registration dossiers, including migrated read-across endpoint study records. However, the clarity of such information is significantly reduced compared with a dossier that has been submitted to benefit from the additional features provided by IUCLID 6. This version of IUCLID includes a much clearer presentation of read-across information using two separate endpoint study records for the source and target substances. Moreover, the automatic migration may have introduced artefacts in the test material identifiers due to initially poorly submitted test material information in IUCLID 5. In such case the grouping algorithm may be less accurate. In the interest of efficiency, registrants are advised to consider updating their registration dossiers so that they can manually examine the correctness of the migration and use the new features of IUCLID 6