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Error analysis identified the specific areas where the generative LLM (Gemini) struggled, such as interpreting approximate dates, distinguishing between historical and current smoking behaviors, and handling complex smoking histories with multiple quit attempts (Supplemental Table 3)

Cancer literacy A persons ability to discern health information related to lung cancer screening and assess their own individual risk is critical for improved screening participation

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Table 2 shows the results Bayesian mixed effects ZIDW regression model for the number of cigarettes smoked per day among adult smokers, which includes Exponentiated posterior estimates (PEs) and 95% highest posterior density (HPD) intervals of model parameters