Primary analyses
We generated summary and recommendation ratings for each participant on each trial by calculating means across attributes for each CST. We ran two mixed-effect models examining the impact of information source (AI or psychiatrist), information quality (correct or incorrect), and their interaction on mean ratings for each CST, specifying participants as random effects to account for repeated measures across trials. We examined the estimated marginal means, and if there was evidence of an interaction, we compared means between conditions stratified by information quality. We aimed to collect four measures from at least 70 participants to attain 90% power in detecting medium effect sizes for CST information source [