Task: Formula-prediction-context (source dataset: pge-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A   | B                                   | C                | D                                                                                                                                           | E            | F                      | G   | H                                              | I        | J   | K       |
|---:|:----|:------------------------------------|:-----------------|:--------------------------------------------------------------------------------------------------------------------------------------------|:-------------|:-----------------------|:----|:-----------------------------------------------|:---------|:----|:--------|
|  1 |     |                                     |                  |                                                                                                                                             |              |                        |     |                                                |          |     |         |
|  2 |     | WMP Table # / Category              | WMP Initiative # | Initative activity                                                                                                                          | WMP category | section / initiative # |     | WMP category                                   | WMP code |     | Utility |
|  3 |     | Risk Assessment & Mapping           | 1                | A summarized risk map that shows the overall ignition probability and estimated wildfire consequence along the electric lines and equipment | 7.3.1.       | [Target Cell]          |     | Risk Assessment & Mapping                      | 7.3.1.   |     | PGE     |
|  4 |     | Risk Assessment & Mapping           | 2                | Climate-driven risk map and modelling based on various relevant weather scenarios                                                           | 7.3.1.       | 7.3.1.2                |     | Situational Awareness & Forecasting            | 7.3.2.   |     | SCE     |
|  5 |     | Risk Assessment & Mapping           | 3                | Ignition probability mapping showing the probability of ignition along the electric lines and equipment                                     | 7.3.1.       | 7.3.1.3                |     | Grid Design & System Hardening                 | 7.3.3.   |     | SDGE    |
|  6 |     | Risk Assessment & Mapping           | 4                | Initiative mapping and estimation of wildfire and PSPS risk-reduction impact                                                                | 7.3.1.       | 7.3.1.4                |     | Asset Management & Inspections                 | 7.3.4.   |     | BVES    |
|  7 |     | Risk Assessment & Mapping           | 5                | Match drop simulations showing the potential wildfire consequence of ignitions that occur along the electric lines and equipment            | 7.3.1.       | 7.3.1.5                |     | Vegetation Management & Inspections            | 7.3.5.   |     | LU      |
|  8 |     | Situational Awareness & Forecasting | 1                | Advanced weather monitoring and weather stations                                                                                            | 7.3.2.       | 7.3.2.1                |     | Grid Operations & Operating Protocols          | 7.3.6.   |     | PC      |
|  9 |     | Situational Awareness & Forecasting | 2                | Continuous monitoring sensors                                                                                                               | 7.3.2.       | 7.3.2.2                |     | Data Governance                                | 7.3.7.   |     | TBC     |
| 10 |     | Situational Awareness & Forecasting | 3                | Fault indicators for detecting faults on electric lines and equipment                                                                       | 7.3.2.       | 7.3.2.3                |     | Resource Allocation Methodology                | 7.3.8.   |     | HWT     |
| 11 |     | Situational Awareness & Forecasting | 4                | Forecast of a fire risk index, fire potential index, or similar                                                                             | 7.3.2.       | 7.3.2.4                |     | Emergency Planning & Preparedness              | 7.3.9.   |     |         |
| 12 |     | Situational Awareness & Forecasting | 5                | Personnel monitoring areas of electric lines and equipment in elevated fire risk conditions                                                 | 7.3.2.       | 7.3.2.5                |     | Stakeholder Cooperation & Community Engagement | 7.3.10.  |     |         |
| 13 |     | Situational Awareness & Forecasting | 6                | Weather forecasting and estimating impacts on electric lines and equipment                                                                  | 7.3.2.       | 7.3.2.6                |     | Protocols on Public Safety Power Shutoff       | 8.2.     |     |         |



min_row: 1
max_row: 13
min_col: 1
max_col: 11
target_cell_row_idx: 3
target_cell_col_idx: 6
target_cell_value: 7.3.1.1
formula: =CONCATENATE(E3,C3)