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Abstract Large language models require reproducible outputs for systematic evaluation in tumor boards. We developed a sarcoma tumor-board simulator using Claude Opus 4.5 at temperature 0.0, schema-enforced JSON output, and prompt-specified semantic and conditional-logic rules. The framework was evaluated on 51 de-identified cases across 154 runs. Reproducibility was defined as agreement across all runs of a case per decision code.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
