Table 6.
Expected LLM-backbone sensitivity of R-GCRED on DAIC-WOZ.
| R-GEE backbone | Developer | Model type | Macro-F1 ↑ | AUC ↑ | Sensitivity ↑ | ECE ↓ |
|---|---|---|---|---|---|---|
| Llama 3.1 8B Instruct | Meta | Open-weight | 0.81 | 0.86 | 0.79 | 0.052 |
| Gemini 2.5 Flash | Proprietary | 0.83 | 0.88 | 0.81 | 0.043 | |
| Claude Sonnet 4.6 | Anthropic | Proprietary | 0.83 | 0.88 | 0.81 | 0.041 |
| GPT-4.1 | OpenAI | Proprietary | 0.84 | 0.89 | 0.82 | 0.038 |
↑ indicates higher-is-better and ↓ indicates lower-is-better.