Repo · Benchmarks & research
Decision-model referral on medical exams
Code, recorded runs and manuscript for a preprint (Sangzin Ahn, 2026) comparing TypeSafe Jev, OpenAI Decisions and Cloudflare Clef on 435 KorMedMCQA…
Open github.com ↗From the repository
Referring uncertain answers by decision-model confidence on Korean and US medical licensing questions
How builders describe it
Code, recorded runs and manuscript for a preprint (Sangzin Ahn, 2026) comparing TypeSafe Jev, OpenAI Decisions and Cloudflare Clef on 435 KorMedMCQA and 1,273 MedQA questions, using each model's selected-option probability to refer its least confident 20% of answers to a stronger model versus…
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →
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