{
  "fixture": "lake-non-tech-clean",
  "goal": "Return the latest closing price for every non-tech name from the NexusTrade data lake.",
  "code": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
  "handAuditedVerdict": "PASS",
  "labeledDefects": 0,
  "predicateTruthTable": [
    {
      "flag": "FALSE",
      "is_not_true": true,
      "equals_false": 1
    },
    {
      "flag": "NULL",
      "is_not_true": true,
      "equals_false": null
    },
    {
      "flag": "TRUE",
      "is_not_true": false,
      "equals_false": 0
    }
  ],
  "draws": [
    {
      "draw": 1,
      "codeFindings": [
        {
          "axis": "population",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.62
        },
        {
          "axis": "completeness",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.3
        },
        {
          "axis": "fidelity",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.66
        },
        {
          "axis": "support",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.77
        },
        {
          "axis": "statistics",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.7
        },
        {
          "axis": "contract",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.88
        },
        {
          "axis": "other",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.72
        }
      ]
    },
    {
      "draw": 2,
      "codeFindings": [
        {
          "axis": "population",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.59
        },
        {
          "axis": "completeness",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.35
        },
        {
          "axis": "fidelity",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.61
        },
        {
          "axis": "support",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.76
        },
        {
          "axis": "statistics",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.72
        },
        {
          "axis": "contract",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.91
        },
        {
          "axis": "other",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.69
        }
      ]
    },
    {
      "draw": 3,
      "codeFindings": [
        {
          "axis": "population",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.69
        },
        {
          "axis": "completeness",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.37
        },
        {
          "axis": "fidelity",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.7
        },
        {
          "axis": "support",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.85
        },
        {
          "axis": "statistics",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.73
        },
        {
          "axis": "contract",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.94
        },
        {
          "axis": "other",
          "status": "defect",
          "verbatimEvidence": "WITH latest AS (SELECT ticker, MAX(date) AS max_date FROM financials.sec_stock_price_metrics GROUP BY ticker) SELECT p.ticker, p.closingPrice AS value FROM financials.sec_stock_price_metrics p JOIN latest l ON p.ticker = l.ticker AND p.date = l.max_date JOIN stockindustries.current si ON p.ticker = si.ticker WHERE si.technology IS NOT TRUE",
          "confidence": 0.72
        }
      ]
    }
  ],
  "interpretation": "The seven records are category flags on the same query, not seven distinct underlying defects. The query is a constructed calibration control. The GIF replays saved decisions; its pacing does not represent latency."
}