{
  "title": "Dairy milking sensor records for AI event review",
  "source_page": "https://fiund.com/industries/dairy-milking-sensor-review-data",
  "authorship": "Original fictional Fiund editorial exercise. No actual operating records or third-party source assets are included.",
  "example": {
    "title": "A sensor dropout and a confirmed low measurement need different states",
    "context": "Two invented session traces use arbitrary measurement units and no animal identity. They illustrate record interpretation without animal-health assessment or live equipment access.",
    "records": [
      [
        "DS1",
        "Session A",
        "At minutes 1, 2, 3: values 4, missing, 4 U. Maintenance note links the minute-2 gap to a confirmed reporting dropout."
      ],
      [
        "DS2",
        "Session B",
        "At minutes 1, 2, 3: values 4, 0.2, 4 U. Separate validation card confirms the 0.2-U reading; no dropout flag."
      ],
      [
        "DS3",
        "Review rule",
        "Missing values remain missing. Valid low measurements go to staff review with their source; the exercise supplies no health rule or outcome."
      ]
    ],
    "question": "How should minute 2 be represented in each session, and what may the assistant conclude about animal health?",
    "answer": "DS1's minute-2 value is missing with a documented sensor-reporting dropout, not a zero measurement. DS2's 0.2-U value is a confirmed low reading and should retain that number and its validation source. DS3 calls for staff review of the latter, but provides no basis for a health conclusion in either case. Similar curve shapes do not make the missing and measured states interchangeable.",
    "failureModes": [
      "Filling a missing sensor interval with zero.",
      "Discarding a validated low measurement as a dropout or turning it into a health diagnosis."
    ],
    "fields": [
      [
        "Session, sample interval and unit",
        "Defines the time series."
      ],
      [
        "Value and missingness flag",
        "Preserves the measurement state."
      ],
      [
        "Maintenance or validation source and referral",
        "Supports distinct review paths."
      ]
    ],
    "holdout": "Remove A's maintenance note. Require the value to stay missing while its cause becomes unknown, rather than retaining the prior dropout explanation.",
    "boundary": "Use invented traces. Exclude actual animal records, productivity, staff and commercial terms; processor and equipment-platform contracts may control real exports."
  }
}