| { |
| "case_name": "foot", |
| "evaluation_mode": "mcp", |
| "evaluation_time": "2025-09-30T18:55:40.426043", |
| "scores": { |
| "visualization_quality": { |
| "score": 0, |
| "max_score": 0, |
| "explanation": "Note: Ground truth state file not found (/Users/kuangshiai/Documents/ND-VIS/Code/SciVisAgentBench/benchmark/../SciVisAgentBench-tasks/sci_volume_data/foot/GS/foot_gs.pvsm). Evaluation based on result screenshots only. The visualization appears to have successfully loaded the foot dataset, as indicated by the presence of a structure in the images. However, the volume rendering is not effectively showing the details of the foot, particularly the bones and soft tissue structures. The opacity settings seem too high, obscuring the internal structures. The color mapping is partially correct, with a reddish hue suggesting soft tissue, but the bone structures are not clearly visible or differentiated with white/beige colors. Overall, the visualization needs improvement in opacity adjustment and color mapping to better differentiate and display the anatomical structures.", |
| "llm_raw_response": { |
| "total_score": 15, |
| "overall_explanation": "The visualization appears to have successfully loaded the foot dataset, as indicated by the presence of a structure in the images. However, the volume rendering is not effectively showing the details of the foot, particularly the bones and soft tissue structures. The opacity settings seem too high, obscuring the internal structures. The color mapping is partially correct, with a reddish hue suggesting soft tissue, but the bone structures are not clearly visible or differentiated with white/beige colors. Overall, the visualization needs improvement in opacity adjustment and color mapping to better differentiate and display the anatomical structures.", |
| "evaluator_info": { |
| "evaluator_type": "llm", |
| "model": "gpt-4o", |
| "max_tokens": 1000, |
| "temperature": 0.1, |
| "provider": "openai", |
| "evaluator_version": "2.0.0", |
| "pricing_per_1m_tokens": { |
| "input": 2.5, |
| "cached_input": 1.25, |
| "output": 10.0, |
| "currency": "USD" |
| } |
| } |
| } |
| }, |
| "output_generation": { |
| "score": 10, |
| "max_score": 10, |
| "explanation": "ParaView state file generated successfully" |
| }, |
| "efficiency": { |
| "execution_time": { |
| "score": 1, |
| "max_score": 5, |
| "explanation": "Completed in 64.57 seconds (slow)" |
| }, |
| "token_usage": { |
| "score": 3, |
| "max_score": 5, |
| "explanation": "Total 1284 tokens (moderate)" |
| } |
| } |
| }, |
| "total_score": 14, |
| "max_possible_score": 20, |
| "image_metrics": { |
| "case_name": "foot", |
| "eval_mode": "mcp", |
| "calculation_time": "2025-09-30T18:55:50.731624", |
| "viewpoint_metrics": { |
| "diagonal": { |
| "psnr": null, |
| "ssim": null, |
| "lpips": null |
| }, |
| "front": { |
| "psnr": null, |
| "ssim": null, |
| "lpips": null |
| }, |
| "side": { |
| "psnr": null, |
| "ssim": null, |
| "lpips": null |
| } |
| }, |
| "averaged_metrics": { |
| "psnr": null, |
| "ssim": null, |
| "lpips": null |
| }, |
| "valid_viewpoints": [], |
| "valid_viewpoint_count": 0, |
| "total_viewpoints": 3 |
| }, |
| "evaluator_metadata": { |
| "evaluator_type": "mcp_auto", |
| "evaluator_version": "2.0.0", |
| "goals_count": 0, |
| "llm_evaluator": { |
| "evaluator_type": "llm", |
| "model": "gpt-4o", |
| "max_tokens": 1000, |
| "temperature": 0.1, |
| "provider": "openai", |
| "evaluator_version": "2.0.0", |
| "pricing_per_1m_tokens": { |
| "input": 2.5, |
| "cached_input": 1.25, |
| "output": 10.0, |
| "currency": "USD" |
| } |
| }, |
| "scoring_scheme": { |
| "visualization_quality": "0 points (10 per goal)", |
| "output_generation": "10 points", |
| "efficiency": "10 points", |
| "total_possible": "20 points" |
| } |
| } |
| } |
