Few-shot medical research classifier (200k records)

Automated classification with 93% human-machine agreement and a precision-first abstention strategy.

High-level summary:

  • Few-shot LLM classifier + ensemble approach for large-scale medical research classification.
  • Precision-first abstention mechanism to reduce verification workload for clinical experts.
  • Outputs used to support cancer research funding analysis work.