For the remaining models tested in this section, performance was less predictable due to inaccurate tabular values transcribed from the original author (3.5 Sonnet, ChatGPT-4o, L3.1-405B, Herm-405B). Attributions regarding the model's results to other author's methods were apparent in 3.5 Sonnet and L3.1-405B. L3.1-405B and 3 Opus were able to process the most metabolites at 102 and 73 respectively, but were not nearly as convincing as o1-preview. Computational limitations likely prevented many of the results from representing all 136 extracellular metabolites, however only o1-preview appeared capable in reasoning through several complex layers of information across multiple prompts for effective table analysis. Therefore, it was in this work that the advanced o1-preview model was able to provide interpretable in-context forecasts based on utilizing several sources of mixed data. Prompt IIe: Create a very large CHL-YN-IgG1 (B-08) .csv table for download based on the table provided and the report regarding how the authors desired certain intracellular metabolites or intracellular metabolite relationships were improved, but now using a LLM. Provide columns with original numerical values followed by new forecasted values (not percent increases), indicating in another column whether a specific breakthrough is expected with the use of the LLM. [Intracellular The 101 intracellular metabolite table was more optimally processed by each of the models tested vs. extracellular metabolites, primarily due to less input data. o1-preview's full 101 metabolite generation IIe found in Table was based on the summary from the original Sukwattananipaat et al. paper to yield LLM forecasts. o1-preview then used the provided generation IIe table along with 10 paper summaries and a review summary again to yield a but provided some basic explanations to breakthroughs, such as: "Improved amino acid metabolism in high-seeding-density". L3.1-405B produced only 5 metabolites, which included two other extra categories not requested, and did not provide forecasts.