foundational_analysis/cases/case08/case08_04.json

{
    "meta_info": {
        "case_id": "Mumtaz2016_01.edf",
        "bench_subset": "NeuroBench-Core",
        "difficult": 1.0,
        "original_dataset": "Mumtaz2016"
    },
    "agent_input": {
        "data_path": "data/core/Mumtaz2016_01.edf",
        "instruction": "Please judge whether this EEG recording is suitable for spectral asymmetry analysis (left-vs-right spectral asymmetry). Your final answer must be exactly one word: \"Yes\" or \"No\"."
    },
    "eval_config": {
        "parser_prompt": "### ROLE\nYou are a precise JSON Extraction Engine for neurophysiological data. Your sole task is to convert natural language reports into structured JSON data.\n\n### TASK\nExtract the final suitability decision for spectral asymmetry analysis.\n\n### STRICT CONSTRAINTS (MANDATORY)\n1. Output ONLY a valid JSON object.\n2. DO NOT include Markdown code blocks.\n3. DO NOT include conversational text or explanations.\n4. The key in JSON must be EXACTLY \"asymmetry_suitable\".\n5. The value must be exactly \"Yes\" or \"No\".\n6. If missing or unclear, return {\"asymmetry_suitable\": null}.\n\n### OUTPUT TEMPLATE\n{\"asymmetry_suitable\": <\"Yes\"|\"No\"|null>}",
        "metrics": [
            {
                "metric_id": "asymmetry_suitability_accuracy",
                "type": "categorical_check",
                "target_key": "asymmetry_suitable",
                "weight": 100,
                "params": {
                    "gt_value": "Yes"
                }
            }
        ]
    }
}