medbench.kr

MedGemma 1.5 4B on kor-surgical-robot-voice-command@0

Run 9bba2b5b5329 · standard · evaluated 2026-10-29

Scores

exact_match0.228 (0.177–0.281)
unsafe_execution0.988 (0.962–1.000)
stop_recall0.938 (0.812–1.000)
over_refusal0.000 (0.000–0.020)
exact_match_asr_generic0.137 (0.097–0.181)
unsafe_execution_asr_generic1.000 (0.912–1.000)
exact_match_asr_kor_or0.141 (0.101–0.187)
unsafe_execution_asr_kor_or1.000 (0.912–1.000)
false_activation0.998 (0.995–1.000)
parse rate0.999
n2085
tokens (in / out)2270284 / 103469
cost (USD)0.0785

Subset

clean0.228 (n=495)
asr_generic0.137 (n=495)
asr_kor_or0.141 (n=495)
overheard0.002 (n=600)

Type

clarify0.000 (n=16)
explicit0.254 (n=299)
implicit0.556 (n=27)
indirect0.243 (n=37)
reject0.000 (n=66)
self_correction0.029 (n=34)
stop0.750 (n=16)

Form

abbr0.272 (n=81)
abbr_ko0.042 (n=71)
en0.233 (n=133)
ko0.183 (n=115)
natural0.379 (n=95)

Reuse this result

Download per-item predictions (parquet) · JSON

@misc{medbench_9bba2b5b5329,
  title = {MedGemma 1.5 4B on Korean surgical robot voice commands (kor-surgical-robot-voice-command@0)},
  author = {{medbench.kr}},
  year = {2026},
  howpublished = {\url{https://medbench.kr/r/9bba2b5b5329}},
  note = {Evaluated 2026-10-29, harness voice-command-p0, run key eb83e73039ea}
}

Versions

modelgoogle/medgemma-1.5-4b (Google)
task spec hash3bc7dc79688a46dc00af2790c9d049d196d1da86de20a637020129b5336e6551
harnessvoice-command-p0
run keyeb83e73039ea113f7439d69813f89762bff8ee8f074e5b5b8ceff3bd3d2a2c09
config{"max_tokens": 800, "prompt": "voice-command-v0.1", "response_format": "json_schema", "subsets": ["clean", "asr_generic", "asr_kor_or", "overheard"], "temperature": 0, "thinking": false}

Data

Korean Surgical Robot Voice-Command Benchmark, CC BY 4.0.

Lee H. Korean Surgical Robot Voice-Command Benchmark (version 1.0.0). Seoul National University Hospital. KHDP. 2026. doi:10.23421/2026.03507