Single Cell Analysis
Task 42 / 47
predict_modality
Predict surface-protein (ADT) modalities from single-cell RNA profiles in an Open Problems–style setup. Models must generalize under biological noise and are scored by benchmark-defined global and stratified metrics. It reflects multimodal integration in single-cell analysis.
Model leaderboard
| # | Participant | Score |
|---|---|---|
| 1 | GPT-5.4 | 100.0 |
| 2 | Claude Opus 4.6 | 0.0 |
| 3 | GLM-5 | 0.0 |
| 4 | DeepSeek V3.2 | 0.0 |
| 5 | Grok 4.20 | 0.0 |
| 6 | Gemini 3.1 Pro Preview | 0.0 |
| 7 | SEED 2.0 Pro | 0.0 |
| 8 | Qwen3 Coder Next | 0.0 |
Framework leaderboard
| # | Participant | Score |
|---|---|---|
| 1 | Claude Opus 4.6 + OpenEvolve | 100.0 |
| 2 | Claude Opus 4.6 + ShinkaiEvolve | 100.0 |
| 3 | GPT-OSS + ShinkaiEvolve | 48.0 |
| 4 | Claude Opus 4.6 + ABMCTS | 14.6 |
| 5 | GPT-OSS + ABMCTS | 0.2 |
| 6 | GPT-OSS + OpenEvolve | 0.0 |
Score is the normalized score for this task (0–100, higher is better).