{
  "title": "Electronics bench-repair data for AI troubleshooting",
  "source_page": "https://fiund.com/industries/electronics-bench-repair-data",
  "authorship": "Original fictional Fiund editorial exercise. No actual operating records or third-party source assets are included.",
  "example": {
    "title": "The same simulated symptom can have different verified causes",
    "context": "A paper bench trainer represents two abstract electronic scenarios. No powered circuit, customer device or actual diagnostic procedure is used; measurements are invented labels.",
    "records": [
      [
        "EB1",
        "Trainer case A",
        "Simulated indicator dark; mock measurement 0 units under condition C. Initial branch suggests module fault."
      ],
      [
        "EB2",
        "Case A independent review",
        "Reviewer establishes a misassigned dummy indicator label as the cause; module-fault branch rejected. Corrected label and repeat fixture check recorded."
      ],
      [
        "EB3",
        "Trainer case B",
        "Same dark indicator symptom, mock measurement absent. No independent cause or repeat check supplied."
      ]
    ],
    "question": "Which cause and failed diagnostic branch are supported for A, and can that result identify B's cause from the shared symptom?",
    "answer": "EB2 verifies the dummy label-assignment cause for A and rejects its initial module-fault branch, with a repeat fixture check recorded. EB1's symptom and mock measurement remain contextual evidence rather than the final cause by themselves. EB3 shares the symptom but lacks measurement and independent review, so A's outcome cannot identify B's cause. Preserve the unresolved case and request the missing evidence rather than forcing the familiar diagnosis.",
    "failureModes": [
      "Treating the first diagnostic hypothesis as a verified root cause.",
      "Transferring a cause between similar symptoms without case-specific measurements and review."
    ],
    "fields": [
      [
        "Case and simulated symptom",
        "Defines the diagnostic context."
      ],
      [
        "Measurement unit and condition",
        "Keeps observations interpretable."
      ],
      [
        "Rejected branch, verified cause and repeat check",
        "Preserves why the reviewer changed the explanation."
      ]
    ],
    "holdout": "Give B a reviewed cause different from A's but retain the same visible symptom. Test whether the model follows evidence rather than symptom memorization.",
    "boundary": "Use original paper fixtures or an approved controlled trainer. Exclude accounts, serials, customer files, locks, credentials, protected manuals and unsafe power conditions."
  }
}