{
    "meta_info": {
        "case_id": "BCIC2020-3_02.edf",
        "bench_subset": "NeuroBench-Core",
        "difficult": 1.5,
        "original_dataset": "BCIC2020-3"
    },
    "agent_input": {
        "data_path": "data/core/BCIC2020-3_02.edf",
        "instruction": "Please select only the central-region EEG channels (C* and CP*). Apply a 50 Hz FIR notch filter, then a 0.5-45 Hz FIR bandpass filter, resample to 100 Hz, and re-reference using average reference. Use the first 90 seconds of each selected channel. Compute Hjorth Mobility and Hjorth Complexity for each channel, then report the channel-mean values as hjorth_mobility_mean and hjorth_complexity_mean."
    },
    "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 two final values from the agent report:\n1) Mean Hjorth Mobility\n2) Mean Hjorth Complexity\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, explanations, or units.\n4. The keys in JSON must be EXACTLY \"hjorth_mobility_mean\" and \"hjorth_complexity_mean\".\n5. Both values must be FLOAT.\n6. If one value is missing, return it as null.\n\n### OUTPUT TEMPLATE\n{\"hjorth_mobility_mean\": <float|null>, \"hjorth_complexity_mean\": <float|null>}",
        "metrics": [
            {
                "metric_id": "hjorth_mobility_accuracy",
                "type": "numeric_check",
                "target_key": "hjorth_mobility_mean",
                "weight": 50,
                "params": {
                    "gt_value": 1.393716,
                    "tolerance": 0.069686
                }
            },
            {
                "metric_id": "hjorth_complexity_accuracy",
                "type": "numeric_check",
                "target_key": "hjorth_complexity_mean",
                "weight": 50,
                "params": {
                    "gt_value": 1.21654,
                    "tolerance": 0.060827
                }
            }
        ]
    }
}