Part A1 scores regarding mAb production improvements using LLM dimension reduction and combinatorial optimization across five individually tested papers favored o1-preview with an average score of 9.9/10.0 due to its ability to answer the most detailed and convincing single paper prompts as seen in this excerpt "Combinatorial optimization algorithms can explore various formulations and parameter combinations to identify the most effective ones for predicting cell behavior." ChatGPT-4o and L3.1-405B in Table had similar scores as shown in Figure , based on returning results in the order they were presented, with both having an average score of 9.2. 3.5 Sonnet responses typically lacked detail and were the least convincing of the models based on Prompt A1. Reports generated by LLMs using Prompt A2 typically condensed pertinent information from Papers 01-05 into structured sections, and are available in Supplementary SA2.