Manuscript accepted for publication in 2027 in Sage Research Methods.

This manuscript is accepted for publication in Sage Research Methods in the form of a case study. The case study reports on a research group’s workflow and decisions in exploring the potential to supplement human judgments with AI-based judgments of the veracity of mock eyewitness statements. In that exploration, we investigated two AI-related questions: (i) Can Large Language Models (LLMs) support the coding of Criteria-Based Content Analysis (CBCA) criteria? and (ii) Can the resulting human- and LLM-based codes be used in predictive models of accuracy?