{
  "case_id": "map_05bcaa2ad8eaec4941d230f1f6365eb4",
  "case_version": 1,
  "current_candidates": [
    {
      "candidate_id": "candidate_44184ed3200a80c78ca0662e589c89b9",
      "nomination_method": "qualified_name",
      "properties": {
        "dataType": "Boolean",
        "name": "IsAdjustment",
        "summarizeBy": "None",
        "tableName": "Ledger"
      },
      "proposed_relationship": "exact",
      "qualified_name": "Ledger.IsAdjustment",
      "score": 1.0,
      "sources": [
        {
          "artifact_id": "ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e",
          "observed": {
            "dataType": "Boolean",
            "name": "IsAdjustment",
            "summarizeBy": "None"
          },
          "original_name": "python-powerbi-discovery.json",
          "purpose": "observed by deterministic MCP audit",
          "selector": {
            "kind": "json_pointer",
            "pointer": "/inventory/columns/data/2/columns/3"
          },
          "sha256": "a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e"
        }
      ]
    }
  ],
  "depth": 1,
  "finding": "Current candidates and their primary audit evidence are attached for consultant review.",
  "input_fingerprint": "498f1f0576efd1ac8e5c0cc7743c2491f4c0bd60d018950f4a4ae3e644600bcd",
  "limitations": [
    "This packet descends only into already captured evidence.",
    "No candidate observed does not prove that the field is absent outside the audited access boundary."
  ],
  "packet_id": "evidence_packet_c1891393649db16cadff28353183509c",
  "reason": "deterministic mapping evidence descent",
  "target": {
    "element_id": "element_1701aa41758ba4f431651e4003125efd",
    "properties": {
      "business_definition": "Identifies late or manual adjustments.",
      "current_hint": "Ledger.IsAdjustment",
      "data_type": "Boolean",
      "formula": null,
      "object_type": "column",
      "required": "Yes",
      "source": "Existing Power BI semantic model",
      "source_row": 11,
      "source_sheet": "Target Fields",
      "workbook_id": "workbook_55d53340ad188bf8b20b867f577f5654"
    },
    "qualified_name": "Ledger.IsAdjustment",
    "sources": [
      {
        "artifact_id": "ev_sha256_55d53340ad188bf8b20b867f577f5654ae91f3a8210e267e6d2dade7f4668a95",
        "observed": {
          "cells": [
            {
              "coordinate": "A11",
              "data_type": "s",
              "number_format": "General",
              "value": "column"
            },
            {
              "coordinate": "B11",
              "data_type": "s",
              "number_format": "General",
              "value": "Ledger"
            },
            {
              "coordinate": "C11",
              "data_type": "s",
              "number_format": "General",
              "value": "IsAdjustment"
            },
            {
              "coordinate": "D11",
              "data_type": "s",
              "number_format": "General",
              "value": "Boolean"
            },
            {
              "coordinate": "E11",
              "data_type": "s",
              "number_format": "General",
              "value": "Identifies late or manual adjustments."
            },
            {
              "coordinate": "F11",
              "data_type": "s",
              "number_format": "General",
              "value": "Yes"
            },
            {
              "coordinate": "G11",
              "data_type": "s",
              "number_format": "General",
              "value": "Ledger.IsAdjustment"
            },
            {
              "coordinate": "H11",
              "data_type": "n",
              "number_format": "General",
              "value": null
            },
            {
              "coordinate": "I11",
              "data_type": "s",
              "number_format": "General",
              "value": "Existing Power BI semantic model"
            },
            {
              "coordinate": "J11",
              "data_type": "inlineStr",
              "number_format": "General",
              "value": null
            }
          ],
          "range": "A11:J11",
          "sheet": "Target Fields"
        },
        "original_name": "TargetArchitecture_Match.xlsx",
        "purpose": "declared in target workbook",
        "selector": {
          "kind": "xlsx_range",
          "range": "A11:J11",
          "sheet": "Target Fields"
        },
        "sha256": "55d53340ad188bf8b20b867f577f5654ae91f3a8210e267e6d2dade7f4668a95"
      }
    ]
  }
}
