{
  "meta_info": {
    "case_id": "case22_02",
    "bench_subset": "NeuroBench-Multi",
    "difficult": 1,
    "original_dataset": "simultaneous"
  },
  "agent_input": {
    "data_path": [
      "data/multi/simultaneous_03_run-gonogo1_EEG.edf",
      "data/multi/simultaneous_03_run-gonogo1_fNIRS.edf"
    ],
    "instruction": "Compare the first half `[20, 35)` seconds with the second half `[35, 50)` seconds of the EEG and fNIRS recordings.\n\nFor EEG channels `FP1`, `AFz`, `F1`, `C3`, `Cz`, `Pz`, `O1`, and `O2`, use the physical values decoded from the EDF file and convert them from volts to microvolts. Subtract each channel's mean within each half and compute its root-mean-square amplitude in microvolts. Average the channel RMS values within each half, then report the second-half value minus the first-half value as `eeg_rms_change_uv`.\n\nFor fNIRS channels `S01D02_760` and `S01D02_850`, compute the mean positive intensity in each half. For each wavelength, calculate the relative change as `(second-half mean - first-half mean) / first-half mean`, then average the two wavelength values as `fnirs_relative_intensity_change`.\n"
  },
  "eval_config": {
    "parser_prompt": "### ROLE\nYou are a precise JSON Extraction Engine for neurophysiological data. Your sole task is to convert the agent's report into one JSON object.\n\n### TASK\nExtract these two finite numeric results:\n1) `eeg_rms_change_uv`: the second-half minus first-half EEG RMS change.\n2) `fnirs_relative_intensity_change`: the mean relative intensity change across the two declared fNIRS wavelengths.\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, units, or extra fields outside the JSON object.\n4. The JSON keys must be EXACTLY `eeg_rms_change_uv` and `fnirs_relative_intensity_change`.\n5. Both values must be finite JSON numbers, or null if the corresponding result is missing.\n6. Do not output strings in place of numbers.\n\n### OUTPUT TEMPLATE\n{\"eeg_rms_change_uv\": <float|null>, \"fnirs_relative_intensity_change\": <float|null>}",
    "metrics": [
      {
        "metric_id": "eeg_rms_change_uv",
        "type": "numeric_check",
        "target_key": "eeg_rms_change_uv",
        "weight": 50,
        "params": {
          "gt_value": 2.5810532087806877,
          "tolerance": 0.12905266043903438
        }
      },
      {
        "metric_id": "fnirs_relative_intensity_change",
        "type": "numeric_check",
        "target_key": "fnirs_relative_intensity_change",
        "weight": 50,
        "params": {
          "gt_value": -0.019044899875732928,
          "tolerance": 0.0009522449937866464
        }
      }
    ]
  }
}