Task: Formula-prediction-context (source dataset: enron-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:
|     | BD                    | BE                    | BF                    | BG                    | BH                     | BI                     | BJ                      | BK                    | BL   | BM                 | BN            | BO                   | BP                   | BQ                   | BR                   | BS   | BT   | BU   | BV   | BW   | BX   |
|----:|:----------------------|:----------------------|:----------------------|:----------------------|:-----------------------|:-----------------------|:------------------------|:----------------------|:-----|:-------------------|:--------------|:---------------------|:---------------------|:---------------------|:---------------------|:-----|:-----|:-----|:-----|:-----|:-----|
| 379 | 0.0005615802198011726 | 0.0006328671773315793 | -0.002079891363380969 | -0.002037274254133002 | -0.0012733794387365799 | -0.0007223144069269062 | -0.00048781708625469944 | -0.031563705612181865 | 10.0 | 0.5729948022286164 |               | 0.034570871467239854 | 0.035137743259064325 | 0.036963563348308644 | 0.048429342706876245 |      |      |      |      |      |      |
| 380 | 0.0005615802198011726 | 0.0006328671773315793 | -0.002079891363380969 | -0.002037274254133002 | -0.0012733794387365799 | -0.0007223144069269062 | -0.00048781708625469944 | -0.031563705612181865 | 9.0  | 0.6095689385410813 |               | 0.03677752283748921  | 0.03738057793517481  | 0.03932293973224324  | 0.05152057734774069  |      |      |      |      |      |      |
| 381 | 0.0005615802198011726 | 0.0006328671773315793 | -0.002079891363380969 | -0.002037274254133002 | -0.0012733794387365799 | -0.0007223144069269062 | -0.00048781708625469944 | -0.031563705612181865 | 8.0  | 0.6484775941926397 |               | 0.03912502429520129  | 0.03976657227146257  | 0.04183291460876941  | 0.05480912483802201  |      |      |      |      |      |      |
| 382 | 0.0005615802198011726 | 0.0006328671773315793 | -0.002079891363380969 | -0.002037274254133002 | -0.0012733794387365799 | -0.0007223144069269062 | -0.00048781708625469944 | -0.031563705612181865 | 7.0  | 0.6898697810559997 |               | 0.041622366271490734 | 0.0423048641185772   | 0.04450310064762703  | 0.05830757961491703  |      |      |      |      |      |      |
| 383 | 0.0005615802198011726 | 0.0006328671773315793 | -0.002079891363380969 | -0.002037274254133002 | -0.0012733794387365799 | -0.0007223144069269062 | -0.00048781708625469944 | -0.031563705612181865 | 6.0  | 0.7339040223999997 |               | 0.04427911305477738  | 0.04500517459423107  | 0.04734372409322025  | 0.06202934001586919  |      |      |      |      |      |      |
| 384 | 0.0005615802198011726 | 0.0006328671773315793 | -0.002079891363380969 | -0.002037274254133002 | -0.0012733794387365799 | -0.0007223144069269062 | -0.00048781708625469944 | -0.031563705612181865 | 5.0  | 0.7807489599999998 |               | 0.04710543941997594  | 0.04787784531301178  | 0.050365663928957714 | 0.06598865959135021  |      |      |      |      |      |      |
| 385 | 0.0005615802198011726 | 0.0006328671773315793 | -0.002079891363380969 | -0.002037274254133002 | -0.0012733794387365799 | -0.0007223144069269062 | -0.00048781708625469944 | -0.031563705612181865 | 4.0  | 0.8305839999999999 |               | 0.05011216959571909  | 0.050933877992565726 | 0.05358049354144438  | 0.07020070169292576  |      |      |      |      |      |      |
| 386 | 0.0005615802198011726 | 0.0006328671773315793 | -0.002079891363380969 | -0.002037274254133002 | -0.0012733794387365799 | -0.0007223144069269062 | -0.00048781708625469944 | -0.031563705612181865 | 3.0  | 0.8835999999999999 |               | 0.0533108187188501   | 0.05418497658783588  | 0.05700052504408977  | 0.07468159754566571  |      |      |      |      |      |      |
| 387 | 0.0005615802198011726 | 0.0006328671773315793 | -0.002079891363380969 | -0.002037274254133002 | -0.0012733794387365799 | -0.0007223144069269062 | -0.00048781708625469944 | -0.031563705612181865 | 2.0  | 0.94               |               | 0.056713636934946916 | 0.057643592114719026 | 0.06063885642988274  | 0.07944850802730394  |      |      |      |      |      |      |
| 388 | 0.0005615802198011726 | 0.0006328671773315793 | -0.002079891363380969 | -0.002037274254133002 | -0.0012733794387365799 | -0.0007223144069269062 | -0.00048781708625469944 | -0.031563705612181865 | 1.0  | 1.0                |               | 0.06033365631377332  | 0.06132297033480748  | 0.06450942173391781  | 0.08451968939074889  |      |      |      |      |      |      |
| 389 |                       |                       |                       |                       |                        |                        |                         |                       |      | 0.94               | [Target Cell] | 16.574496907652424   | 16.307103105740964   | 15.501611595972799   | 11.831562647808964   |      |      |      |      |      |      |
| 390 |                       |                       |                       |                       |                        |                        |                         |                       |      |                    |               |                      |                      |                      |                      |      |      |      |      |      |      |
| 391 |                       |                       |                       |                       |                        |                        |                         |                       |      |                    |               |                      |                      |                      |                      |      |      |      |      |      |      |
| 392 |                       |                       |                       |                       |                        |                        |                         |                       |      |                    |               |                      |                      |                      |                      |      |      |      |      |      |      |
| 393 |                       |                       |                       |                       |                        |                        |                         |                       |      |                    |               |                      |                      |                      |                      |      |      |      |      |      |      |
| 394 |                       |                       |                       |                       |                        |                        |                         |                       |      |                    |               |                      |                      |                      |                      |      |      |      |      |      |      |
| 395 |                       |                       |                       |                       |                        |                        |                         |                       |      |                    |               |                      |                      |                      |                      |      |      |      |      |      |      |
| 396 |                       |                       |                       |                       |                        |                        |                         |                       |      |                    |               |                      |                      |                      |                      |      |      |      |      |      |      |
| 397 |                       |                       |                       |                       |                        |                        |                         |                       |      |                    |               |                      |                      |                      |                      |      |      |      |      |      |      |
| 398 |                       |                       |                       |                       |                        |                        |                         |                       |      |                    |               |                      |                      |                      |                      |      |      |      |      |      |      |
| 399 |                       |                       |                       |                       |                        |                        |                         |                       |      |                    |               |                      |                      |                      |                      |      |      |      |      |      |      |



min_row: 379
max_row: 399
min_col: 56
max_col: 76
target_cell_row_idx: 389
target_cell_col_idx: 66
target_cell_value: 16.64304006653267
formula: =SUM($BM283:$BM388)