{
 "about": {
  "method": "column-outliers",
  "origin": "Original synthetic values, not experimental data",
  "ruling": "CSO memo of 13 October 2026 (docs/board/memos/2026-10-13-cso-outlier-candidates.md); roadmap A-2 family 7",
  "settings": {
   "grubbs": "G from outliers::grubbs.test(x, type = 10, two.sided = TRUE); p = min(1, 2n P(T > t_G)) on n - 2 df; candidate when p < 0.05 (fixed); n >= 6",
   "critical": "((n - 1)/sqrt(n)) sqrt(t^2/(n - 2 + t^2)), t = qt(1 - 0.05/(2n), n - 2)",
   "groups": "rstudent(lm(value ~ group)); df = N - k - 1; Bonferroni min(1, N p); every n_g >= 3; N - k >= 6",
   "cells": "a number is a value; None blank; {text} text; {excluded} kept, never read; only values enter n"
  },
  "withheldCodes": [
   "GRUBBS_N",
   "NO_SPREAD",
   "GROUP_COUNT",
   "GROUP_N",
   "RESIDUAL_DF"
  ],
  "tolerances": {
   "G, t, critical G, mean, SD": "1e-9 relative",
   "p (Grubbs bound, adjusted residual p)": "1e-8 relative",
   "n, counts, rows, candidate flags and withheld codes": "exact"
  },
  "recordedOn": "2026-10-13",
  "script": "pipeline/assay-analyser/oracles/column_outliers.py",
  "scriptSha256": "b0705df95333f3d8ad1efe715fff397521bb85a45db1010d317aa8504ec961a5",
  "helper": {
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   "sha256": "492d85ca2fa6750db80b1c64214fd4a0b13cd4c588267244f6262c504c73e3e8"
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  "environment": {
   "image": "ghcr.io/biotechmat/drybench/oracle-env:11b8a5e4456df7eb@sha256:7e69891ca1d9f24838660e0a9887bdb654ce7771d2f2ac7e7275e9b1eb3b6a09",
   "r": "R version 4.4.3 (2025-02-28)",
   "packages": {
    "jsonlite": "2.0.0",
    "outliers": "0.15",
    "car": "3.1-5"
   },
   "python": "3.11.15",
   "numpy": "2.0.2",
   "scipy": "1.13.1",
   "recordedOn": "2026-10-13",
   "cpu": "AMD EPYC 9V45 96-Core Processor",
   "cpuClass": "x86-64-v3",
   "simd": [
    "SSSE3",
    "SSE41",
    "POPCNT",
    "SSE42",
    "AVX",
    "F16C",
    "FMA3",
    "AVX2"
   ],
   "openblasCore": "Haswell",
   "threads": 1
  },
  "crossCheck": {
   "tool": "SciPy stats.t and NumPy; car::outlierTest as the gate for Grubbs' p",
   "ran": true,
   "cases": 84,
   "agreeing": 80,
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     "what": "groups-planted C row 4 adjusted (SciPy)",
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    {
     "what": "groups-planted C row 3 adjusted (SciPy)",
     "r": 1,
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    {
     "what": "groups-planted C row 1 adjusted (SciPy)",
     "r": 1,
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    {
     "what": "groups-planted C row 2 adjusted (SciPy)",
     "r": 1,
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    {
     "what": "groups-planted A row 2 adjusted (SciPy)",
     "r": 1,
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    {
     "what": "groups-planted B row 2 adjusted (SciPy)",
     "r": 1,
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    {
     "what": "groups-planted B row 3 adjusted (SciPy)",
     "r": 1,
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    {
     "what": "groups-planted A row 3 adjusted (SciPy)",
     "r": 1,
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    },
    {
     "what": "groups-planted A row 1 adjusted (SciPy)",
     "r": 1,
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     "agrees": true
    },
    {
     "what": "groups-planted A row 4 adjusted (SciPy)",
     "r": 1,
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    {
     "what": "groups-planted B row 1 adjusted (SciPy)",
     "r": 1,
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    {
     "what": "groups-planted B row 4 adjusted (SciPy)",
     "r": 1,
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   ],
   "divergences": [
    {
     "case": "small-g-fold/A",
     "package": 0.928203230275511,
     "engine": 1,
     "reason": "outliers two-sided fold; engine reports the bound"
    }
   ],
   "r": {
    "version": "R version 4.4.3 (2025-02-28)",
    "outliers": "0.15",
    "car": "3.1-5",
    "script": "pipeline/assay-analyser/oracles/r/column_outliers.R",
    "scriptSha256": "15eb0f224aff237e602430f01c19d26886677894110378675bfa49aae6bc91df",
    "jobs": 16
   }
  }
 },
 "oracle": {
  "engine": "R (column_outliers.R: outliers, car, stats)",
  "method": "every number from R; the withholding policy from the memo, applied here"
 },
 "cases": [
  {
   "name": "n-5-withheld",
   "frame": "columns",
   "columns": [
    {
     "name": "A",
     "cells": [
      10.1,
      9.8,
      10.3,
      9.9,
      14.0
     ]
    }
   ],
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    "counts": [
     {
      "n": 5,
      "blank": 0,
      "text": 0,
      "excluded": 0
     }
    ],
    "grubbs": [
     {
      "withheld": "GRUBBS_N"
     }
    ]
   }
  },
  {
   "name": "n-6-planted",
   "frame": "columns",
   "columns": [
    {
     "name": "A",
     "cells": [
      10.1,
      9.8,
      10.3,
      9.9,
      10.0,
      14.2
     ]
    }
   ],
   "expected": {
    "counts": [
     {
      "n": 6,
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    "grubbs": [
     {
      "n": 6,
      "mean": 10.7166666666667,
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      "df": 4,
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      "rows": [
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      "value": 14.2,
      "candidate": true,
      "r": {
       "packageP": 0.000228581736285705,
       "folded": false
      }
     }
    ]
   }
  },
  {
   "name": "n-6-clean",
   "frame": "columns",
   "columns": [
    {
     "name": "A",
     "cells": [
      10.1,
      9.8,
      10.3,
      9.9,
      10.0,
      10.4
     ]
    }
   ],
   "expected": {
    "counts": [
     {
      "n": 6,
      "blank": 0,
      "text": 0,
      "excluded": 0
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    "grubbs": [
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      "mean": 10.0833333333333,
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      "G": 1.36694184978877,
      "t": 1.80340019192975,
      "df": 4,
      "p": 0.873966095225308,
      "critical": 1.88714511778393,
      "rows": [
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      "value": 10.4,
      "candidate": false,
      "r": {
       "packageP": 0.873966095225308,
       "folded": false
      }
     }
    ]
   }
  },
  {
   "name": "all-equal",
   "frame": "columns",
   "columns": [
    {
     "name": "A",
     "cells": [
      5,
      5,
      5,
      5,
      5,
      5,
      5
     ]
    }
   ],
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    "counts": [
     {
      "n": 7,
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    ],
    "grubbs": [
     {
      "withheld": "NO_SPREAD"
     }
    ]
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  },
  {
   "name": "five-equal-one-different",
   "frame": "columns",
   "columns": [
    {
     "name": "A",
     "cells": [
      3,
      3,
      3,
      3,
      3,
      9
     ]
    }
   ],
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      "n": 6,
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    "grubbs": [
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      "mean": 4,
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