The o1-preview Part C2 1522 word Report with a score of 9.0/10.0 was chosen due to its high proximity to the Prompt C2 inquiry for actual "numerical values in quotations" (avoiding many percent increases), referencing reinforcement learning and bayesian optimization, and "citing authors' names for each of the six papers", while adhering to the theme of monoclonal antibody production improvements. The o1-preview's step-bystep analysis regarding Paper 11 and Paper 12 provided exact LLM estimates for improving continuous steady-state operation "From 55 hours to 80 hours" and bayesian optimization enabling a grid point reduction "from 10 to 5 grid points". Paper 13 by Khuat et al. was not correctly processed due to a) o1-preview's limited context window for the 70,484 article and b) the size of the article input size was reduced for the model continuously, which caused a conversational error in processing a limited portion of the work.