{
  "schema": "reific.reference-evidence.v1",
  "status": "deterministic_public_data_replay",
  "question": "Which three consecutive 10-minute readings have the highest total appliance energy in the first seven complete days, and what can we conclude?",
  "source": {
    "dataset": "UCI Appliances Energy Prediction",
    "doi": "10.24432/C5VC8G",
    "file": "energydata_complete.csv",
    "sha256": "2820bf712ad0275cb18b85a05250926100d8e65ebb9f4d2d016ca91ea152a25d",
    "row_numbering": "1-based physical CSV lines; header is line 1",
    "timezone": "not supplied; retain source-local timestamps"
  },
  "coverage": {
    "start": "2016-01-12 00:00:00",
    "end": "2016-01-18 23:50:00",
    "samples": 1008,
    "cadence_seconds": 600,
    "missing_appliance_values": 0,
    "candidate_windows": 1006
  },
  "finding": {
    "type": "maximum_rolling_three_reading_energy",
    "first_reading": "2016-01-16 18:40:00",
    "last_reading": "2016-01-16 19:00:00",
    "reading_count": 3,
    "covered_energy_intervals_minutes": 30,
    "total_energy_Wh": 2390,
    "equivalent_average_power_W": 4780,
    "source_rows": [
      732,
      733,
      734
    ],
    "observed_values_Wh": [
      560,
      1080,
      750
    ],
    "ties_at_maximum": 1,
    "tie_break": "earliest first-reading timestamp"
  },
  "limits": [
    "This identifies a maximum in the selected week, not an abnormal or faulty state.",
    "Aggregate appliance energy does not identify which device ran or establish a cause.",
    "Source timestamps do not specify whether each 10-minute interval begins or ends at its label.",
    "A script with the same aggregation can produce the same finding; no model advantage is measured."
  ],
  "next_evidence": "Device-level meters, schedules, and intervention records are required for a device or fault attribution."
}