The ChatGPT-4o "LLM-Enhanced Numerical Data" column in some cases did not have an improved LLM projection for "Cell Density", "Product Quality", and "Virus Inactivation pH, the latter of would likely would remain unchanged with LLM incorporation. Each of the five sets of results were returned in the correct order based on authors' last names, and were adequately detailed and convincing regarding the types of speed or performance improvements to expect by incorporating LLMs into mAb production workflows such as Bevacizumab in Figure . The 3.5 Sonnet Part B table (8.0/10.0) shown in Table lacked completeness, detail, and convincing responses that ChatGPT-4o (9.0) had accomplished in Table . The poorer performing model had some LLM values as author values found in the overrepresented Liang et al. paper. In addition, many of the Author Values for "G2FS2 glycoform" through "Acidic charge variants" were listed as "Not specified", but had LLM-Forecasted Values. The other four papers represented in Table had accurate author values, and provided reasonable estimates under the "LLM-Forecasted Value" column. A more recent version of 3.5 Sonnet was released after experimental data collection was performed.