An ensemble automated scoring approach was evaluated against 260,000 responses spanning 55 constructed-response reading items. Performance was then compared to 27 human markers using 477 control scripts. The ensemble achieved perfect agreement on control scripts for 39 items (71%), matching or exceeding human marker performance and supporting operational quality assurance.