A schema-enforced large language model framework produces largely reproducible decision codes in simulated sarcoma tumor boards
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.