[User]
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.

Please combine the final results into a single JSON object and return it in the following format:
{
  "html": "...",
  "cells": [{"cell": "...", "bbox": [...]}, ...]
}

[Assistant]
{"html": "

[EMPTY_CELL]	Total (N=252; 100%)

[EMPTY_CELL]	Mean	SD

Age	[EMPTY_CELL]	9.3

Working years	[EMPTY_CELL]	10.1

Working years at this CHS	[EMPTY_CELL]	9.2

Salary (1,000 dong/month)	[EMPTY_CELL]	607.2

[EMPTY_CELL]	[EMPTY_CELL]	%

Male	[EMPTY_CELL]	26.0

Professional degree	[EMPTY_CELL]	[EMPTY_CELL]

 Specialized MD	[EMPTY_CELL]	2.4

 MD	[EMPTY_CELL]	11.9

 Nurses and technicians	[EMPTY_CELL]	85.7

Training place	[EMPTY_CELL]	[EMPTY_CELL]

 Hanoi	[EMPTY_CELL]	26.6

 Ha Tay	[EMPTY_CELL]	50.8

 Others	[EMPTY_CELL]	22.6

Areas of work	[EMPTY_CELL]	[EMPTY_CELL]

 Treatment	[EMPTY_CELL]	34.5

 Paraclinical	[EMPTY_CELL]	3.6

 Pharmacy	[EMPTY_CELL]	11.1

 Preventive medicine	[EMPTY_CELL]	18.7

 Management	[EMPTY_CELL]	13.9

 Other	[EMPTY_CELL]	18.3

Areas of expertise	[EMPTY_CELL]	[EMPTY_CELL]

 General	[EMPTY_CELL]	51.8

 Major specialty	[EMPTY_CELL]	22.7

 Minor specialty	[EMPTY_CELL]	17.8

 Others	[EMPTY_CELL]	7.7

Have job description	[EMPTY_CELL]	61.1

", "cells": [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Total (N=252; 100%)", "bbox": [134, 8, 213, 18]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Mean", "bbox": [131, 29, 153, 38]}, {"cell": "SD", "bbox": [197, 29, 209, 38]}, {"cell": "Age", "bbox": [1, 49, 17, 58]}, {"cell": "[EMPTY_CELL]", "bbox": [139, 49, 156, 58]}, {"cell": "9.3", "bbox": [201, 49, 214, 58]}, {"cell": "Working years", "bbox": [1, 61, 53, 70]}, {"cell": "[EMPTY_CELL]", "bbox": [139, 61, 156, 70]}, {"cell": "10.1", "bbox": [196, 61, 214, 70]}, {"cell": "Working years at this CHS", "bbox": [1, 73, 97, 82]}, {"cell": "[EMPTY_CELL]", "bbox": [139, 73, 156, 82]}, {"cell": "9.2", "bbox": [201, 73, 214, 82]}, {"cell": "Salary (1,000 dong/month)", "bbox": [1, 85, 97, 94]}, {"cell": "[EMPTY_CELL]", "bbox": [128, 85, 156, 94]}, {"cell": "607.2", "bbox": [192, 85, 214, 94]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": [138, 100, 146, 108]}, {"cell": "%", "bbox": [200, 100, 210, 109]}, {"cell": "Male", "bbox": [1, 112, 20, 121]}, {"cell": "[EMPTY_CELL]", "bbox": [139, 112, 150, 121]}, {"cell": "26.0", "bbox": [196, 112, 214, 121]}, {"cell": "Professional degree", "bbox": [1, 124, 73, 133]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": " Specialized MD", "bbox": [8, 136, 67, 145]}, {"cell": "[EMPTY_CELL]", "bbox": [143, 136, 150, 145]}, {"cell": "2.4", "bbox": [201, 136, 214, 145]}, {"cell": " MD", "bbox": [8, 148, 23, 157]}, {"cell": "[EMPTY_CELL]", "bbox": [139, 148, 150, 157]}, {"cell": "11.9", "bbox": [196, 148, 214, 157]}, {"cell": " Nurses and technicians", "bbox": [8, 160, 95, 169]}, {"cell": "[EMPTY_CELL]", "bbox": [135, 160, 150, 169]}, {"cell": "85.7", "bbox": [196, 160, 214, 169]}, {"cell": "Training place", "bbox": [1, 171, 52, 181]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": " Hanoi", "bbox": [8, 183, 31, 193]}, {"cell": "[EMPTY_CELL]", "bbox": [139, 183, 150, 193]}, {"cell": "26.6", "bbox": [196, 183, 214, 193]}, {"cell": " Ha Tay", "bbox": [8, 195, 35, 205]}, {"cell": "[EMPTY_CELL]", "bbox": [135, 195, 150, 205]}, {"cell": "50.8", "bbox": [196, 195, 214, 205]}, {"cell": " Others", "bbox": [8, 207, 34, 217]}, {"cell": "[EMPTY_CELL]", "bbox": [139, 207, 150, 217]}, {"cell": "22.6", "bbox": [196, 207, 214, 217]}, {"cell": "Areas of work", "bbox": [1, 219, 52, 229]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": " Treatment", "bbox": [8, 231, 46, 241]}, {"cell": "[EMPTY_CELL]", "bbox": [139, 231, 150, 241]}, {"cell": "34.5", "bbox": [196, 231, 214, 241]}, {"cell": " Paraclinical", "bbox": [8, 243, 51, 253]}, {"cell": "[EMPTY_CELL]", "bbox": [143, 243, 150, 253]}, {"cell": "3.6", "bbox": [201, 243, 214, 253]}, {"cell": " Pharmacy", "bbox": [8, 255, 46, 265]}, {"cell": "[EMPTY_CELL]", "bbox": [139, 255, 150, 265]}, {"cell": "11.1", "bbox": [196, 255, 214, 265]}, {"cell": " Preventive medicine", "bbox": [8, 267, 83, 277]}, {"cell": "[EMPTY_CELL]", "bbox": [139, 267, 150, 277]}, {"cell": "18.7", "bbox": [196, 267, 214, 277]}, {"cell": " Management", "bbox": [8, 279, 57, 289]}, {"cell": "[EMPTY_CELL]", "bbox": [139, 279, 150, 289]}, {"cell": "13.9", "bbox": [196, 279, 214, 289]}, {"cell": " Other", "bbox": [8, 291, 30, 301]}, {"cell": "[EMPTY_CELL]", "bbox": [139, 291, 150, 301]}, {"cell": "18.3", "bbox": [196, 291, 214, 301]}, {"cell": "Areas of expertise", "bbox": [1, 303, 68, 312]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": " General", "bbox": [8, 315, 38, 324]}, {"cell": "[EMPTY_CELL]", "bbox": [135, 315, 150, 324]}, {"cell": "51.8", "bbox": [196, 315, 214, 324]}, {"cell": " Major specialty", "bbox": [8, 327, 65, 336]}, {"cell": "[EMPTY_CELL]", "bbox": [139, 327, 150, 336]}, {"cell": "22.7", "bbox": [196, 327, 214, 336]}, {"cell": " Minor specialty", "bbox": [8, 339, 65, 348]}, {"cell": "[EMPTY_CELL]", "bbox": [139, 339, 150, 348]}, {"cell": "17.8", "bbox": [196, 339, 214, 348]}, {"cell": " Others", "bbox": [8, 351, 34, 360]}, {"cell": "[EMPTY_CELL]", "bbox": [139, 351, 150, 360]}, {"cell": "7.7", "bbox": [201, 351, 214, 360]}, {"cell": "Have job description", "bbox": [1, 363, 77, 372]}, {"cell": "[EMPTY_CELL]", "bbox": [135, 363, 150, 372]}, {"cell": "61.1", "bbox": [196, 363, 214, 372]}]}


[User]
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.

Please combine the final results into a single JSON object and return it in the following format:
{
  "html": "...",
  "cells": [{"cell": "...", "bbox": [...]}, ...]
}

[Assistant]
{"html": "

[EMPTY_CELL]	2001	2003	2005

Age in years a	41.6 (40.4–42.8)	[EMPTY_CELL]	44.7 (44.0–45.3)

Female sex b	77.9 (72.8–83.0%)	[EMPTY_CELL]	76.8 (74.0–79.6%)

Lives with partner b	74.0 (68.2–79.8 %)	[EMPTY_CELL]	64.7 (61.5–67.9%)

Group I b	32.3 (26.5–38.1%)	[EMPTY_CELL]	42.9 (39.6–46.2%)

Group II b	40.9 (34.9–46.9%)	[EMPTY_CELL]	36.7 (33.5–39.9%)

Group III b	26.8 (21.4–32.2%)	[EMPTY_CELL]	20.4 (17.7–23.1%)

Indefinite contract b	51.5 (45.4–57.6%)	[EMPTY_CELL]	47.0 (43.7–50.3%)

Urban team b	89.2 (85.4–93.0%)	[EMPTY_CELL]	88.1 (79.1–84.3%)

Management responsibilities b	34.2 (28.1 40.3%)	[EMPTY_CELL]	32.4 (29.3–35.5%)

Morning shift b	53.5 (47.4–59.6%)	[EMPTY_CELL]	48.4 (45.1–51.7%)

Years in Area a	10.4 (9.5–11.3)	[EMPTY_CELL]	11.2 (10.8–11.7)

High care pressure b	37.3 (29.8–44.8%)	[EMPTY_CELL]	53.7 (50.0–57.4%)

", "cells": [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "2001", "bbox": [129, 4, 148, 14]}, {"cell": "2003", "bbox": [254, 4, 272, 14]}, {"cell": "2005", "bbox": [379, 4, 397, 14]}, {"cell": "Age in years a", "bbox": [4, 26, 52, 36]}, {"cell": "41.6 (40.4–42.8)", "bbox": [129, 27, 185, 36]}, {"cell": "[EMPTY_CELL]", "bbox": [254, 27, 310, 36]}, {"cell": "44.7 (44.0–45.3)", "bbox": [379, 27, 435, 36]}, {"cell": "Female sex b", "bbox": [4, 37, 49, 47]}, {"cell": "77.9 (72.8–83.0%)", "bbox": [129, 37, 191, 47]}, {"cell": "[EMPTY_CELL]", "bbox": [254, 37, 316, 47]}, {"cell": "76.8 (74.0–79.6%)", "bbox": [379, 37, 440, 47]}, {"cell": "Lives with partner b", "bbox": [4, 47, 72, 57]}, {"cell": "74.0 (68.2–79.8 %)", "bbox": [129, 47, 193, 57]}, {"cell": "[EMPTY_CELL]", "bbox": [254, 47, 316, 57]}, {"cell": "64.7 (61.5–67.9%)", "bbox": [379, 47, 440, 57]}, {"cell": "Group I b", "bbox": [4, 57, 38, 67]}, {"cell": "32.3 (26.5–38.1%)", "bbox": [129, 57, 191, 67]}, {"cell": "[EMPTY_CELL]", "bbox": [254, 57, 316, 67]}, {"cell": "42.9 (39.6–46.2%)", "bbox": [379, 57, 440, 67]}, {"cell": "Group II b", "bbox": [4, 67, 40, 77]}, {"cell": "40.9 (34.9–46.9%)", "bbox": [129, 68, 191, 77]}, {"cell": "[EMPTY_CELL]", "bbox": [254, 68, 316, 77]}, {"cell": "36.7 (33.5–39.9%)", "bbox": [379, 68, 440, 77]}, {"cell": "Group III b", "bbox": [4, 78, 42, 88]}, {"cell": "26.8 (21.4–32.2%)", "bbox": [129, 78, 191, 88]}, {"cell": "[EMPTY_CELL]", "bbox": [254, 78, 316, 88]}, {"cell": "20.4 (17.7–23.1%)", "bbox": [379, 78, 440, 88]}, {"cell": "Indefinite contract b", "bbox": [4, 88, 73, 98]}, {"cell": "51.5 (45.4–57.6%)", "bbox": [129, 88, 191, 98]}, {"cell": "[EMPTY_CELL]", "bbox": [254, 88, 316, 98]}, {"cell": "47.0 (43.7–50.3%)", "bbox": [379, 88, 440, 98]}, {"cell": "Urban team b", "bbox": [4, 98, 51, 108]}, {"cell": "89.2 (85.4–93.0%)", "bbox": [129, 98, 191, 108]}, {"cell": "[EMPTY_CELL]", "bbox": [254, 98, 316, 108]}, {"cell": "88.1 (79.1–84.3%)", "bbox": [379, 98, 440, 108]}, {"cell": "Management responsibilities b", "bbox": [4, 108, 106, 118]}, {"cell": "34.2 (28.1 40.3%)", "bbox": [129, 109, 189, 118]}, {"cell": "[EMPTY_CELL]", "bbox": [254, 109, 314, 118]}, {"cell": "32.4 (29.3–35.5%)", "bbox": [379, 109, 440, 118]}, {"cell": "Morning shift b", "bbox": [4, 119, 56, 129]}, {"cell": "53.5 (47.4–59.6%)", "bbox": [129, 119, 191, 129]}, {"cell": "[EMPTY_CELL]", "bbox": [254, 119, 316, 129]}, {"cell": "48.4 (45.1–51.7%)", "bbox": [379, 119, 440, 129]}, {"cell": "Years in Area a", "bbox": [4, 129, 57, 139]}, {"cell": "10.4 (9.5–11.3)", "bbox": [129, 129, 181, 139]}, {"cell": "[EMPTY_CELL]", "bbox": [254, 129, 310, 139]}, {"cell": "11.2 (10.8–11.7)", "bbox": [379, 129, 435, 139]}, {"cell": "High care pressure b", "bbox": [4, 139, 75, 149]}, {"cell": "37.3 (29.8–44.8%)", "bbox": [129, 139, 191, 149]}, {"cell": "[EMPTY_CELL]", "bbox": [254, 139, 316, 149]}, {"cell": "53.7 (50.0–57.4%)", "bbox": [379, 139, 440, 149]}]}

System: You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell.


[User]
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.

Please combine the final results into a single JSON object and return it in the following format:
{
  "html": "...",
  "cells": [{"cell": "...", "bbox": [...]}, ...]
}

[Assistant]
{"html": "

[EMPTY_CELL]	Univariable analysis	Multivariable analysisa

HR	p Value	95% CI	HR	p Value	95% CI

Age (≥65 years)	0.720	[EMPTY_CELL]	0.326–1.59	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]

Sex (male)	2.22	[EMPTY_CELL]	0.522–9.42	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]

Histologic type (non-SCC)	3.11	[EMPTY_CELL]	1.337–7.232	2.57	0.029	1.10–6.02

ypStage (≥3)	4.14	[EMPTY_CELL]	1.95–8.80	5.73	<0.01	1.94–16.7

Therapeutic effect	0.611	[EMPTY_CELL]	0.416–0.898	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]

Albumin	1.12	[EMPTY_CELL]	0.952–1.32	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]

CRP	0.213	[EMPTY_CELL]	0.028–1.63	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]

BMI (≥20)	0.836	[EMPTY_CELL]	0.378–1.85	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]

Sarcopenia	2.56	[EMPTY_CELL]	0.604–10.8	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]

Weight loss rate	0.937	[EMPTY_CELL]	0.877–1.00	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]

Skeletal muscle wasting	1.19	[EMPTY_CELL]	1.06–1.34	1.16	0.015	1.03–1.31

", "cells": [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Univariable analysis", "bbox": [133, 5, 205, 15]}, {"cell": "Multivariable analysisa", "bbox": [339, 3, 420, 15]}, {"cell": "HR", "bbox": [133, 22, 146, 31]}, {"cell": "p Value", "bbox": [191, 22, 220, 31]}, {"cell": "95% CI", "bbox": [258, 22, 286, 31]}, {"cell": "HR", "bbox": [339, 22, 353, 31]}, {"cell": "p Value", "bbox": [393, 22, 423, 31]}, {"cell": "95% CI", "bbox": [460, 22, 489, 31]}, {"cell": "Age (≥65 years)", "bbox": [1, 40, 61, 50]}, {"cell": "0.720", "bbox": [133, 40, 154, 50]}, {"cell": "[EMPTY_CELL]", "bbox": [197, 40, 218, 50]}, {"cell": "0.326–1.59", "bbox": [258, 40, 298, 50]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Sex (male)", "bbox": [1, 53, 40, 63]}, {"cell": "2.22", "bbox": [133, 53, 149, 63]}, {"cell": "[EMPTY_CELL]", "bbox": [197, 53, 218, 63]}, {"cell": "0.522–9.42", "bbox": [258, 53, 298, 63]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Histologic type (non-SCC)", "bbox": [1, 66, 95, 76]}, {"cell": "3.11", "bbox": [133, 66, 149, 76]}, {"cell": "[EMPTY_CELL]", "bbox": [190, 66, 213, 76]}, {"cell": "1.337–7.232", "bbox": [258, 66, 302, 76]}, {"cell": "2.57", "bbox": [339, 66, 356, 76]}, {"cell": "0.029", "bbox": [393, 66, 414, 76]}, {"cell": "1.10–6.02", "bbox": [460, 66, 496, 76]}, {"cell": "ypStage (≥3)", "bbox": [1, 79, 49, 88]}, {"cell": "4.14", "bbox": [133, 79, 149, 88]}, {"cell": "[EMPTY_CELL]", "bbox": [190, 79, 213, 88]}, {"cell": "1.95–8.80", "bbox": [262, 79, 298, 88]}, {"cell": "5.73", "bbox": [339, 79, 356, 88]}, {"cell": "<0.01", "bbox": [392, 79, 416, 88]}, {"cell": "1.94–16.7", "bbox": [460, 79, 496, 88]}, {"cell": "Therapeutic effect", "bbox": [1, 92, 65, 101]}, {"cell": "0.611", "bbox": [133, 92, 154, 101]}, {"cell": "[EMPTY_CELL]", "bbox": [197, 92, 218, 101]}, {"cell": "0.416–0.898", "bbox": [258, 92, 302, 101]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Albumin", "bbox": [1, 104, 33, 114]}, {"cell": "1.12", "bbox": [133, 104, 149, 114]}, {"cell": "[EMPTY_CELL]", "bbox": [197, 104, 218, 114]}, {"cell": "0.952–1.32", "bbox": [258, 104, 298, 114]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "CRP", "bbox": [1, 117, 18, 127]}, {"cell": "0.213", "bbox": [133, 117, 154, 127]}, {"cell": "[EMPTY_CELL]", "bbox": [197, 117, 218, 127]}, {"cell": "0.028–1.63", "bbox": [258, 117, 298, 127]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "BMI (≥20)", "bbox": [1, 130, 42, 139]}, {"cell": "0.836", "bbox": [133, 130, 154, 139]}, {"cell": "[EMPTY_CELL]", "bbox": [197, 130, 218, 139]}, {"cell": "0.378–1.85", "bbox": [258, 130, 298, 139]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Sarcopenia", "bbox": [1, 142, 40, 152]}, {"cell": "2.56", "bbox": [133, 142, 149, 152]}, {"cell": "[EMPTY_CELL]", "bbox": [197, 142, 218, 152]}, {"cell": "0.604–10.8", "bbox": [258, 142, 298, 152]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Weight loss rate", "bbox": [1, 155, 59, 165]}, {"cell": "0.937", "bbox": [133, 155, 154, 165]}, {"cell": "[EMPTY_CELL]", "bbox": [197, 155, 218, 165]}, {"cell": "0.877–1.00", "bbox": [258, 155, 298, 165]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Skeletal muscle wasting", "bbox": [1, 168, 86, 178]}, {"cell": "1.19", "bbox": [133, 168, 149, 178]}, {"cell": "[EMPTY_CELL]", "bbox": [190, 168, 213, 178]}, {"cell": "1.06–1.34", "bbox": [262, 168, 298, 178]}, {"cell": "1.16", "bbox": [339, 168, 356, 178]}, {"cell": "0.015", "bbox": [393, 168, 414, 178]}, {"cell": "1.03–1.31", "bbox": [460, 168, 496, 178]}]}


[User]
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.

Please combine the final results into a single JSON object and return it in the following format:
{
  "html": "...",
  "cells": [{"cell": "...", "bbox": [...]}, ...]
}

[Assistant]
{"html": "

[EMPTY_CELL]	Number, n (%)

[EMPTY_CELL]	All sample	Children ≤ 5 years

N = 223	N = 112

Age1(years)	[EMPTY_CELL]	1.7 [0.1–5]

Female	[EMPTY_CELL]	45 (40.2)

Symptoms reported by patients	[EMPTY_CELL]	[EMPTY_CELL]

Fever	[EMPTY_CELL]	30 (26.8)

Vomiting	[EMPTY_CELL]	45 (41.3)

Dehydration	[EMPTY_CELL]	27 (26.0)

Abdominal pain	[EMPTY_CELL]	64 (60.9)

Weakness	[EMPTY_CELL]	32 (32.6)

Acute diarrhea (≤ 7 days)	[EMPTY_CELL]	86 (76.8)

Duration of diarrhea1(days)	[EMPTY_CELL]	4.6 [0–28]

Hospitalization	[EMPTY_CELL]	12 (10.7)

Aspect of stools	[EMPTY_CELL]	[EMPTY_CELL]

Loose	[EMPTY_CELL]	45 (40.2)

Semi-formed	[EMPTY_CELL]	33 (29.5)

Formed	[EMPTY_CELL]	2 (1.8)

Blood	[EMPTY_CELL]	8 (7.1)

Mucus	[EMPTY_CELL]	50 (44.6)

Period	[EMPTY_CELL]	[EMPTY_CELL]

Rainy season	[EMPTY_CELL]	65 (58)

Dry season	[EMPTY_CELL]	47 (42)

Confirmed enteric infection	[EMPTY_CELL]	46 (41.1)

Bacterial infection	[EMPTY_CELL]	27 (24.1)

Viral infection2	[EMPTY_CELL]	37 (33.3)

Parasitic infection	[EMPTY_CELL]	13 (11.6)

", "cells": [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Number, n (%)", "bbox": [151, 4, 203, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "All sample", "bbox": [120, 17, 158, 27]}, {"cell": "Children ≤ 5 years", "bbox": [173, 17, 236, 27]}, {"cell": "N = 223", "bbox": [125, 26, 153, 36]}, {"cell": "N = 112", "bbox": [191, 26, 219, 36]}, {"cell": "Age1(years)", "bbox": [0, 38, 40, 49]}, {"cell": "[EMPTY_CELL]", "bbox": [118, 39, 160, 49]}, {"cell": "1.7 [0.1–5]", "bbox": [188, 39, 222, 49]}, {"cell": "Female", "bbox": [1, 53, 26, 63]}, {"cell": "[EMPTY_CELL]", "bbox": [122, 53, 155, 63]}, {"cell": "45 (40.2)", "bbox": [190, 53, 219, 63]}, {"cell": "Symptoms reported by patients", "bbox": [1, 67, 104, 77]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Fever", "bbox": [11, 81, 30, 91]}, {"cell": "[EMPTY_CELL]", "bbox": [124, 81, 153, 91]}, {"cell": "30 (26.8)", "bbox": [190, 81, 219, 91]}, {"cell": "Vomiting", "bbox": [10, 95, 41, 105]}, {"cell": "[EMPTY_CELL]", "bbox": [124, 95, 153, 105]}, {"cell": "45 (41.3)", "bbox": [190, 95, 219, 105]}, {"cell": "Dehydration", "bbox": [10, 109, 52, 119]}, {"cell": "[EMPTY_CELL]", "bbox": [124, 109, 153, 119]}, {"cell": "27 (26.0)", "bbox": [190, 109, 219, 119]}, {"cell": "Abdominal pain", "bbox": [10, 123, 63, 133]}, {"cell": "[EMPTY_CELL]", "bbox": [122, 123, 155, 133]}, {"cell": "64 (60.9)", "bbox": [190, 123, 219, 133]}, {"cell": "Weakness", "bbox": [10, 137, 43, 147]}, {"cell": "[EMPTY_CELL]", "bbox": [124, 137, 153, 147]}, {"cell": "32 (32.6)", "bbox": [190, 137, 219, 147]}, {"cell": "Acute diarrhea (≤ 7 days)", "bbox": [1, 151, 84, 161]}, {"cell": "[EMPTY_CELL]", "bbox": [122, 151, 155, 161]}, {"cell": "86 (76.8)", "bbox": [190, 151, 219, 161]}, {"cell": "Duration of diarrhea1(days)", "bbox": [1, 164, 91, 175]}, {"cell": "[EMPTY_CELL]", "bbox": [122, 165, 155, 175]}, {"cell": "4.6 [0–28]", "bbox": [188, 165, 221, 175]}, {"cell": "Hospitalization", "bbox": [1, 179, 49, 189]}, {"cell": "[EMPTY_CELL]", "bbox": [124, 179, 153, 189]}, {"cell": "12 (10.7)", "bbox": [190, 179, 219, 189]}, {"cell": "Aspect of stools", "bbox": [1, 193, 54, 203]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Loose", "bbox": [10, 207, 31, 217]}, {"cell": "[EMPTY_CELL]", "bbox": [124, 207, 153, 217]}, {"cell": "45 (40.2)", "bbox": [190, 207, 219, 217]}, {"cell": "Semi-formed", "bbox": [10, 221, 53, 231]}, {"cell": "[EMPTY_CELL]", "bbox": [124, 221, 153, 231]}, {"cell": "33 (29.5)", "bbox": [190, 221, 219, 231]}, {"cell": "Formed", "bbox": [10, 235, 37, 245]}, {"cell": "[EMPTY_CELL]", "bbox": [128, 235, 149, 245]}, {"cell": "2 (1.8)", "bbox": [194, 235, 215, 245]}, {"cell": "Blood", "bbox": [10, 249, 31, 259]}, {"cell": "[EMPTY_CELL]", "bbox": [124, 249, 153, 259]}, {"cell": "8 (7.1)", "bbox": [194, 249, 215, 259]}, {"cell": "Mucus", "bbox": [10, 263, 33, 273]}, {"cell": "[EMPTY_CELL]", "bbox": [124, 263, 153, 273]}, {"cell": "50 (44.6)", "bbox": [190, 263, 219, 273]}, {"cell": "Period", "bbox": [1, 277, 23, 287]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Rainy season", "bbox": [11, 291, 54, 301]}, {"cell": "[EMPTY_CELL]", "bbox": [122, 291, 155, 301]}, {"cell": "65 (58)", "bbox": [193, 291, 217, 301]}, {"cell": "Dry season", "bbox": [10, 305, 47, 315]}, {"cell": "[EMPTY_CELL]", "bbox": [124, 305, 153, 315]}, {"cell": "47 (42)", "bbox": [193, 305, 217, 315]}, {"cell": "Confirmed enteric infection", "bbox": [1, 319, 91, 329]}, {"cell": "[EMPTY_CELL]", "bbox": [124, 319, 153, 329]}, {"cell": "46 (41.1)", "bbox": [190, 319, 219, 329]}, {"cell": "Bacterial infection", "bbox": [10, 333, 69, 343]}, {"cell": "[EMPTY_CELL]", "bbox": [124, 333, 153, 343]}, {"cell": "27 (24.1)", "bbox": [190, 333, 219, 343]}, {"cell": "Viral infection2", "bbox": [10, 346, 58, 357]}, {"cell": "[EMPTY_CELL]", "bbox": [124, 347, 153, 357]}, {"cell": "37 (33.3)", "bbox": [190, 347, 219, 357]}, {"cell": "Parasitic infection", "bbox": [10, 361, 68, 371]}, {"cell": "[EMPTY_CELL]", "bbox": [124, 361, 153, 371]}, {"cell": "13 (11.6)", "bbox": [190, 361, 219, 371]}]}


[User]
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.

Please combine the final results into a single JSON object and return it in the following format:
{
  "html": "...",
  "cells": [{"cell": "...", "bbox": [...]}, ...]
}

[Assistant]
{"html": "

Characteristic	Total	HIV Positive	Univariate	Multivariate

[EMPTY_CELL]	n (%)	[EMPTY_CELL]	No n (%)	OR (95% CI)	aOR (95% CI)

Not always wearing condoms with men	88 (47.6%)	[EMPTY_CELL]	70 (79.5%)	1.9 (1.0-3.7), *	2.3 (1.0-5.4),**

Received money for Transactional Sex	24 (12.0%)	[EMPTY_CELL]	13 (54.2%)	2.9 (1.2-6.9),*	NS

Having been blackmailed	21 (10.5%)	[EMPTY_CELL]	12 (57.1%)	2.4 (1.0-6.2) (p = 0.06)	4,4 (1.3-15.4), *

Having been raped	22 (11.0%)	[EMPTY_CELL]	11 (50.0%)	3.5 (1.4-8.5),**	5.7 (1.6-20.2) **

Higher number of male partners (>5)	35(17.7%)	[EMPTY_CELL]	20 (57.1%)	2.8.(1.3-6.1), **	NS

More than 26 years old	77 (38.5%)	[EMPTY_CELL]	51 (66.2%)	2.0 (1.1 - 3.8), *	4.2 (1.6-10.6),**

Unemployment	79 (39.7%)	[EMPTY_CELL]	52 (65.8%)	2.2 (1.1-4.2), *	3.7 (1.5-9.3),**

Less Educated	20 (10.0%)	[EMPTY_CELL]	10 (50.0%)	3.4 (1.3.-8.8), *	NS

Rural Origin	102 (53.6%)	[EMPTY_CELL]	38 (37.3)%)	4.1 (2.0-8.8),**	6.0 ( 2.2-16.7), **

", "cells": [{"cell": "Characteristic", "bbox": [1, 4, 49, 13]}, {"cell": "Total", "bbox": [152, 4, 171, 13]}, {"cell": "HIV Positive", "bbox": [211, 4, 254, 13]}, {"cell": "Univariate", "bbox": [322, 4, 360, 13]}, {"cell": "Multivariate", "bbox": [414, 4, 457, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "n (%)", "bbox": [152, 17, 172, 26]}, {"cell": "[EMPTY_CELL]", "bbox": [211, 17, 246, 26]}, {"cell": "No n (%)", "bbox": [265, 17, 298, 26]}, {"cell": "OR (95% CI)", "bbox": [322, 17, 366, 26]}, {"cell": "aOR (95% CI)", "bbox": [414, 17, 462, 26]}, {"cell": "Not always wearing condoms with men", "bbox": [1, 30, 132, 40]}, {"cell": "88 (47.6%)", "bbox": [152, 30, 187, 40]}, {"cell": "[EMPTY_CELL]", "bbox": [211, 30, 246, 40]}, {"cell": "70 (79.5%)", "bbox": [265, 30, 300, 40]}, {"cell": "1.9 (1.0-3.7), *", "bbox": [322, 30, 367, 40]}, {"cell": "2.3 (1.0-5.4),**", "bbox": [414, 30, 459, 40]}, {"cell": "Received money for Transactional Sex", "bbox": [1, 44, 125, 53]}, {"cell": "24 (12.0%)", "bbox": [152, 44, 187, 53]}, {"cell": "[EMPTY_CELL]", "bbox": [211, 44, 246, 53]}, {"cell": "13 (54.2%)", "bbox": [265, 44, 300, 53]}, {"cell": "2.9 (1.2-6.9),*", "bbox": [322, 44, 365, 53]}, {"cell": "NS", "bbox": [414, 44, 425, 53]}, {"cell": "Having been blackmailed", "bbox": [1, 57, 84, 66]}, {"cell": "21 (10.5%)", "bbox": [152, 57, 187, 66]}, {"cell": "[EMPTY_CELL]", "bbox": [211, 57, 242, 66]}, {"cell": "12 (57.1%)", "bbox": [265, 57, 300, 66]}, {"cell": "2.4 (1.0-6.2) (p = 0.06)", "bbox": [322, 57, 394, 66]}, {"cell": "4,4 (1.3-15.4), *", "bbox": [414, 57, 463, 66]}, {"cell": "Having been raped", "bbox": [1, 70, 65, 79]}, {"cell": "22 (11.0%)", "bbox": [152, 70, 187, 79]}, {"cell": "[EMPTY_CELL]", "bbox": [211, 70, 246, 79]}, {"cell": "11 (50.0%)", "bbox": [265, 70, 300, 79]}, {"cell": "3.5 (1.4-8.5),**", "bbox": [322, 70, 368, 79]}, {"cell": "5.7 (1.6-20.2) **", "bbox": [414, 70, 465, 79]}, {"cell": "Higher number of male partners (>5)", "bbox": [1, 83, 123, 93]}, {"cell": "35(17.7%)", "bbox": [152, 83, 184, 93]}, {"cell": "[EMPTY_CELL]", "bbox": [211, 83, 246, 93]}, {"cell": "20 (57.1%)", "bbox": [266, 83, 300, 93]}, {"cell": "2.8.(1.3-6.1), **", "bbox": [322, 83, 369, 93]}, {"cell": "NS", "bbox": [414, 83, 425, 93]}, {"cell": "More than 26 years old", "bbox": [1, 96, 78, 106]}, {"cell": "77 (38.5%)", "bbox": [152, 96, 187, 106]}, {"cell": "[EMPTY_CELL]", "bbox": [211, 96, 246, 106]}, {"cell": "51 (66.2%)", "bbox": [265, 96, 300, 106]}, {"cell": "2.0 (1.1 - 3.8), *", "bbox": [322, 96, 373, 106]}, {"cell": "4.2 (1.6-10.6),**", "bbox": [414, 96, 463, 106]}, {"cell": "Unemployment", "bbox": [1, 110, 53, 119]}, {"cell": "79 (39.7%)", "bbox": [152, 110, 187, 119]}, {"cell": "[EMPTY_CELL]", "bbox": [211, 110, 246, 119]}, {"cell": "52 (65.8%)", "bbox": [265, 110, 300, 119]}, {"cell": "2.2 (1.1-4.2), *", "bbox": [322, 110, 367, 119]}, {"cell": "3.7 (1.5-9.3),**", "bbox": [414, 110, 459, 119]}, {"cell": "Less Educated", "bbox": [1, 123, 48, 132]}, {"cell": "20 (10.0%)", "bbox": [152, 123, 187, 132]}, {"cell": "[EMPTY_CELL]", "bbox": [211, 123, 246, 132]}, {"cell": "10 (50.0%)", "bbox": [266, 123, 300, 132]}, {"cell": "3.4 (1.3.-8.8), *", "bbox": [322, 123, 369, 132]}, {"cell": "NS", "bbox": [414, 123, 425, 132]}, {"cell": "Rural Origin", "bbox": [1, 136, 40, 145]}, {"cell": "102 (53.6%)", "bbox": [152, 136, 191, 145]}, {"cell": "[EMPTY_CELL]", "bbox": [211, 136, 246, 145]}, {"cell": "38 (37.3)%)", "bbox": [266, 136, 303, 145]}, {"cell": "4.1 (2.0-8.8),**", "bbox": [322, 136, 368, 145]}, {"cell": "6.0 ( 2.2-16.7), **", "bbox": [414, 136, 469, 145]}]}


[User]
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.

Please combine the final results into a single JSON object and return it in the following format:
{
  "html": "...",
  "cells": [{"cell": "...", "bbox": [...]}, ...]
}

[Assistant]
{"html": "

[EMPTY_CELL]	Overall (n=7,007)	Government (n=894)	NGO (n=5,849)	Private (n=264)

[EMPTY_CELL]	n	(%)	n	(%)	n	(%)	n	[EMPTY_CELL]

Married	6728	(96.0)	863	(96.5)	5655	(96.7)	210	[EMPTY_CELL]

Rural residence	3997	(57.0)	325	(36.4)	3592	(61.4)	80	[EMPTY_CELL]

Literate	5215	(74.4)	615	(68.8)	4364	(74.6)	236	[EMPTY_CELL]

Education	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]

 None	1792	(25.6)	279	(31.2)	1485	(25.4)	28	[EMPTY_CELL]

 Primary or some secondary	3010	(43.0)	244	(27.3)	2657	(45.4)	109	[EMPTY_CELL]

 School Leaving Certificate or higher	2205	(31.5)	371	(41.5)	1707	(29.2)	127	[EMPTY_CELL]

[EMPTY_CELL]	Mean	(sd)	Mean	(sd)	Mean	(sd)	Mean	[EMPTY_CELL]

Age, years	26.9	(5.80)	27.2	(5.68)	26.9	(5.79)	26.0	[EMPTY_CELL]

Gravidity	3.2	(1.63)	3.1	(1.40)	3.3	(1.66)	2.5	[EMPTY_CELL]

Parity	1.8	(1.36)	1.9	(1.28)	1.9	(1.37)	1.2	[EMPTY_CELL]

Pregnancy duration, weeks	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]

 Last menstrual period (n=6539)	7.1	(1.64)	7.3	(1.46)	7.0	(1.66)	7.3	[EMPTY_CELL]

 Clinical exam (n = 6307)	7.4	(1.75)	7.6	(1.54)	7.4	(1.78)	7.3	[EMPTY_CELL]

 Ultrasound (n = 25)	7.9	(1.96)	7.7	(1.89)	8.7	(2.52)	8.5	[EMPTY_CELL]

[EMPTY_CELL]	n	(%)	n	(%)	n	(%)	n	[EMPTY_CELL]

Prophylactic administration of antibiotics	5277	(75.3)	809	(90.5)	4217	(72.1)	251	[EMPTY_CELL]

Post-abortion contraceptive method	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]

 No method accepted	1328	(19.0)	134	(15.0)	1180	(20.2)	14	[EMPTY_CELL]

 Condom	2715	(38.8)	103	(11.5)	2555	(43.7)	57	[EMPTY_CELL]

 Depo Provera	1461	(20.9)	343	(38.4)	1022	(17.5)	96	[EMPTY_CELL]

 Pills	1035	(14.8)	175	(19.6)	790	(13.5)	70	[EMPTY_CELL]

 Norplant	136	(1.9)	11	(1.2)	124	(2.1)	1	[EMPTY_CELL]

 IUD/IUCD	237	(3.4)	76	(8.5)	140	(2.4)	21	[EMPTY_CELL]

 Sterilization	95	(1.4)	52	(5.8)	38	(0.7)	5	[EMPTY_CELL]

", "cells": [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Overall (n=7,007)", "bbox": [148, 4, 209, 13]}, {"cell": "Government (n=894)", "bbox": [233, 4, 307, 13]}, {"cell": "NGO (n=5,849)", "bbox": [332, 4, 385, 13]}, {"cell": "Private (n=264)", "bbox": [409, 4, 464, 13]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "n", "bbox": [181, 17, 188, 26]}, {"cell": "(%)", "bbox": [192, 17, 205, 26]}, {"cell": "n", "bbox": [273, 17, 280, 26]}, {"cell": "(%)", "bbox": [284, 17, 297, 26]}, {"cell": "n", "bbox": [361, 17, 367, 26]}, {"cell": "(%)", "bbox": [371, 17, 385, 26]}, {"cell": "n", "bbox": [439, 17, 446, 26]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 17, 463, 26]}, {"cell": "Married", "bbox": [1, 30, 27, 40]}, {"cell": "6728", "bbox": [170, 30, 188, 40]}, {"cell": "(96.0)", "bbox": [192, 30, 210, 40]}, {"cell": "863", "bbox": [266, 30, 280, 40]}, {"cell": "(96.5)", "bbox": [284, 30, 302, 40]}, {"cell": "5655", "bbox": [350, 30, 368, 40]}, {"cell": "(96.7)", "bbox": [371, 30, 390, 40]}, {"cell": "210", "bbox": [432, 30, 446, 40]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 30, 469, 40]}, {"cell": "Rural residence", "bbox": [1, 44, 51, 53]}, {"cell": "3997", "bbox": [170, 44, 188, 53]}, {"cell": "(57.0)", "bbox": [192, 44, 210, 53]}, {"cell": "325", "bbox": [266, 44, 280, 53]}, {"cell": "(36.4)", "bbox": [284, 44, 302, 53]}, {"cell": "3592", "bbox": [350, 44, 368, 53]}, {"cell": "(61.4)", "bbox": [371, 44, 390, 53]}, {"cell": "80", "bbox": [436, 44, 446, 53]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 44, 469, 53]}, {"cell": "Literate", "bbox": [1, 57, 26, 66]}, {"cell": "5215", "bbox": [170, 57, 188, 66]}, {"cell": "(74.4)", "bbox": [192, 57, 210, 66]}, {"cell": "615", "bbox": [266, 57, 280, 66]}, {"cell": "(68.8)", "bbox": [284, 57, 302, 66]}, {"cell": "4364", "bbox": [350, 57, 368, 66]}, {"cell": "(74.6)", "bbox": [371, 57, 390, 66]}, {"cell": "236", "bbox": [432, 57, 446, 66]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 57, 469, 66]}, {"cell": "Education", "bbox": [1, 70, 34, 79]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": " None", "bbox": [15, 83, 35, 93]}, {"cell": "1792", "bbox": [170, 83, 188, 93]}, {"cell": "(25.6)", "bbox": [192, 83, 210, 93]}, {"cell": "279", "bbox": [266, 83, 280, 93]}, {"cell": "(31.2)", "bbox": [284, 83, 302, 93]}, {"cell": "1485", "bbox": [350, 83, 368, 93]}, {"cell": "(25.4)", "bbox": [371, 83, 390, 93]}, {"cell": "28", "bbox": [436, 83, 446, 93]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 83, 469, 93]}, {"cell": " Primary or some secondary", "bbox": [15, 96, 105, 106]}, {"cell": "3010", "bbox": [170, 96, 188, 106]}, {"cell": "(43.0)", "bbox": [192, 96, 210, 106]}, {"cell": "244", "bbox": [266, 96, 280, 106]}, {"cell": "(27.3)", "bbox": [284, 96, 302, 106]}, {"cell": "2657", "bbox": [350, 96, 368, 106]}, {"cell": "(45.4)", "bbox": [371, 96, 390, 106]}, {"cell": "109", "bbox": [432, 96, 446, 106]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 96, 469, 106]}, {"cell": " School Leaving Certificate or higher", "bbox": [15, 110, 133, 119]}, {"cell": "2205", "bbox": [170, 110, 188, 119]}, {"cell": "(31.5)", "bbox": [191, 110, 210, 119]}, {"cell": "371", "bbox": [266, 110, 280, 119]}, {"cell": "(41.5)", "bbox": [284, 110, 302, 119]}, {"cell": "1707", "bbox": [350, 110, 368, 119]}, {"cell": "(29.2)", "bbox": [371, 110, 390, 119]}, {"cell": "127", "bbox": [432, 110, 446, 119]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 110, 469, 119]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Mean", "bbox": [166, 123, 188, 131]}, {"cell": "(sd)", "bbox": [191, 123, 206, 131]}, {"cell": "Mean", "bbox": [259, 123, 280, 131]}, {"cell": "(sd)", "bbox": [284, 123, 298, 131]}, {"cell": "Mean", "bbox": [346, 123, 368, 131]}, {"cell": "(sd)", "bbox": [371, 123, 386, 131]}, {"cell": "Mean", "bbox": [425, 123, 446, 131]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 123, 464, 131]}, {"cell": "Age, years", "bbox": [1, 136, 35, 145]}, {"cell": "26.9", "bbox": [173, 136, 188, 145]}, {"cell": "(5.80)", "bbox": [191, 136, 210, 145]}, {"cell": "27.2", "bbox": [265, 136, 280, 145]}, {"cell": "(5.68)", "bbox": [284, 136, 302, 145]}, {"cell": "26.9", "bbox": [353, 136, 367, 145]}, {"cell": "(5.79)", "bbox": [371, 136, 390, 145]}, {"cell": "26.0", "bbox": [431, 136, 446, 145]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 136, 469, 145]}, {"cell": "Gravidity", "bbox": [1, 149, 30, 159]}, {"cell": "3.2", "bbox": [177, 149, 188, 159]}, {"cell": "(1.63)", "bbox": [192, 149, 210, 159]}, {"cell": "3.1", "bbox": [269, 149, 280, 159]}, {"cell": "(1.40)", "bbox": [284, 149, 302, 159]}, {"cell": "3.3", "bbox": [357, 149, 367, 159]}, {"cell": "(1.66)", "bbox": [371, 149, 390, 159]}, {"cell": "2.5", "bbox": [435, 149, 446, 159]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 149, 469, 159]}, {"cell": "Parity", "bbox": [1, 162, 20, 172]}, {"cell": "1.8", "bbox": [177, 162, 188, 172]}, {"cell": "(1.36)", "bbox": [192, 162, 210, 172]}, {"cell": "1.9", "bbox": [269, 162, 280, 172]}, {"cell": "(1.28)", "bbox": [284, 162, 302, 172]}, {"cell": "1.9", "bbox": [357, 162, 367, 172]}, {"cell": "(1.37)", "bbox": [371, 162, 390, 172]}, {"cell": "1.2", "bbox": [435, 162, 446, 172]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 162, 469, 172]}, {"cell": "Pregnancy duration, weeks", "bbox": [1, 176, 89, 185]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": " Last menstrual period (n=6539)", "bbox": [15, 189, 118, 198]}, {"cell": "7.1", "bbox": [177, 189, 188, 198]}, {"cell": "(1.64)", "bbox": [192, 189, 210, 198]}, {"cell": "7.3", "bbox": [269, 189, 280, 198]}, {"cell": "(1.46)", "bbox": [284, 189, 302, 198]}, {"cell": "7.0", "bbox": [357, 189, 367, 198]}, {"cell": "(1.66)", "bbox": [371, 189, 390, 198]}, {"cell": "7.3", "bbox": [435, 189, 446, 198]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 189, 469, 198]}, {"cell": " Clinical exam (n = 6307)", "bbox": [15, 202, 96, 211]}, {"cell": "7.4", "bbox": [177, 202, 188, 211]}, {"cell": "(1.75)", "bbox": [192, 202, 210, 211]}, {"cell": "7.6", "bbox": [269, 202, 280, 211]}, {"cell": "(1.54)", "bbox": [284, 202, 303, 211]}, {"cell": "7.4", "bbox": [357, 202, 368, 211]}, {"cell": "(1.78)", "bbox": [371, 202, 390, 211]}, {"cell": "7.3", "bbox": [435, 202, 446, 211]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 202, 469, 211]}, {"cell": " Ultrasound (n = 25)", "bbox": [15, 215, 81, 225]}, {"cell": "7.9", "bbox": [177, 215, 188, 225]}, {"cell": "(1.96)", "bbox": [192, 215, 210, 225]}, {"cell": "7.7", "bbox": [269, 215, 280, 225]}, {"cell": "(1.89)", "bbox": [284, 215, 302, 225]}, {"cell": "8.7", "bbox": [357, 215, 367, 225]}, {"cell": "(2.52)", "bbox": [371, 215, 390, 225]}, {"cell": "8.5", "bbox": [435, 215, 446, 225]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 215, 469, 225]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "n", "bbox": [181, 228, 188, 237]}, {"cell": "(%)", "bbox": [192, 228, 205, 237]}, {"cell": "n", "bbox": [273, 228, 280, 237]}, {"cell": "(%)", "bbox": [284, 228, 297, 237]}, {"cell": "n", "bbox": [361, 228, 367, 237]}, {"cell": "(%)", "bbox": [371, 228, 385, 237]}, {"cell": "n", "bbox": [439, 228, 446, 237]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 228, 463, 237]}, {"cell": "Prophylactic administration of antibiotics", "bbox": [1, 242, 134, 251]}, {"cell": "5277", "bbox": [170, 242, 188, 251]}, {"cell": "(75.3)", "bbox": [192, 242, 210, 251]}, {"cell": "809", "bbox": [266, 242, 280, 251]}, {"cell": "(90.5)", "bbox": [284, 242, 302, 251]}, {"cell": "4217", "bbox": [350, 242, 368, 251]}, {"cell": "(72.1)", "bbox": [371, 242, 390, 251]}, {"cell": "251", "bbox": [432, 242, 446, 251]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 242, 469, 251]}, {"cell": "Post-abortion contraceptive method", "bbox": [1, 255, 119, 264]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": " No method accepted", "bbox": [15, 268, 87, 277]}, {"cell": "1328", "bbox": [170, 268, 188, 277]}, {"cell": "(19.0)", "bbox": [192, 268, 210, 277]}, {"cell": "134", "bbox": [266, 268, 280, 277]}, {"cell": "(15.0)", "bbox": [284, 268, 302, 277]}, {"cell": "1180", "bbox": [350, 268, 368, 277]}, {"cell": "(20.2)", "bbox": [371, 268, 390, 277]}, {"cell": "14", "bbox": [436, 268, 446, 277]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 268, 465, 277]}, {"cell": " Condom", "bbox": [15, 281, 45, 291]}, {"cell": "2715", "bbox": [170, 281, 188, 291]}, {"cell": "(38.8)", "bbox": [192, 281, 210, 291]}, {"cell": "103", "bbox": [266, 281, 280, 291]}, {"cell": "(11.5)", "bbox": [284, 281, 302, 291]}, {"cell": "2555", "bbox": [350, 281, 368, 291]}, {"cell": "(43.7)", "bbox": [371, 281, 390, 291]}, {"cell": "57", "bbox": [436, 281, 446, 291]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 281, 469, 291]}, {"cell": " Depo Provera", "bbox": [15, 294, 61, 304]}, {"cell": "1461", "bbox": [170, 294, 188, 304]}, {"cell": "(20.9)", "bbox": [192, 294, 210, 304]}, {"cell": "343", "bbox": [266, 294, 280, 304]}, {"cell": "(38.4)", "bbox": [284, 294, 302, 304]}, {"cell": "1022", "bbox": [350, 294, 368, 304]}, {"cell": "(17.5)", "bbox": [371, 294, 390, 304]}, {"cell": "96", "bbox": [436, 294, 446, 304]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 294, 469, 304]}, {"cell": " Pills", "bbox": [15, 308, 29, 317]}, {"cell": "1035", "bbox": [170, 308, 188, 317]}, {"cell": "(14.8)", "bbox": [192, 308, 210, 317]}, {"cell": "175", "bbox": [266, 308, 280, 317]}, {"cell": "(19.6)", "bbox": [284, 308, 302, 317]}, {"cell": "790", "bbox": [354, 308, 367, 317]}, {"cell": "(13.5)", "bbox": [371, 308, 390, 317]}, {"cell": "70", "bbox": [436, 308, 446, 317]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 308, 469, 317]}, {"cell": " Norplant", "bbox": [15, 321, 45, 330]}, {"cell": "136", "bbox": [174, 321, 188, 330]}, {"cell": "(1.9)", "bbox": [192, 321, 207, 330]}, {"cell": "11", "bbox": [270, 321, 280, 330]}, {"cell": "(1.2)", "bbox": [284, 321, 299, 330]}, {"cell": "124", "bbox": [354, 321, 367, 330]}, {"cell": "(2.1)", "bbox": [371, 321, 387, 330]}, {"cell": "1", "bbox": [440, 321, 446, 330]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 321, 465, 330]}, {"cell": " IUD/IUCD", "bbox": [15, 334, 48, 343]}, {"cell": "237", "bbox": [174, 334, 188, 343]}, {"cell": "(3.4)", "bbox": [192, 334, 207, 343]}, {"cell": "76", "bbox": [270, 334, 280, 343]}, {"cell": "(8.5)", "bbox": [284, 334, 299, 343]}, {"cell": "140", "bbox": [354, 334, 368, 343]}, {"cell": "(2.4)", "bbox": [371, 334, 387, 343]}, {"cell": "21", "bbox": [436, 334, 446, 343]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 334, 465, 343]}, {"cell": " Sterilization", "bbox": [15, 347, 54, 357]}, {"cell": "95", "bbox": [178, 347, 188, 357]}, {"cell": "(1.4)", "bbox": [192, 347, 207, 357]}, {"cell": "52", "bbox": [270, 347, 280, 357]}, {"cell": "(5.8)", "bbox": [284, 347, 299, 357]}, {"cell": "38", "bbox": [358, 347, 367, 357]}, {"cell": "(0.7)", "bbox": [371, 347, 387, 357]}, {"cell": "5", "bbox": [440, 347, 446, 357]}, {"cell": "[EMPTY_CELL]", "bbox": [450, 347, 465, 357]}]}


[User]
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.

Please combine the final results into a single JSON object and return it in the following format:
{
  "html": "...",
  "cells": [{"cell": "...", "bbox": [...]}, ...]
}

[Assistant]
{"html": "

Characteristics	Frequency (%) and median (IQR)

County hospital (n=234)	Township hospital (n=480)	Total (n=714)

Access to blood culture	150 (64.1)	[EMPTY_CELL]	407 (57.0)

Medical expense for illness† (median, IQR)	263.9 (190.8, 389)	[EMPTY_CELL]	264 (180.1, 424.2)

Percentage of reimbursement for all types of payment (%)	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]

0–10	193 (82.5)	[EMPTY_CELL]	389 (54.5)

11–50	21 (9)	[EMPTY_CELL]	261 (36.6)

51–100	20 (8.5)	[EMPTY_CELL]	64 (9)

", "cells": [{"cell": "Characteristics", "bbox": [6, 17, 69, 28]}, {"cell": "Frequency (%) and median (IQR)", "bbox": [239, 4, 379, 16]}, {"cell": "County hospital (n=234)", "bbox": [186, 18, 256, 41]}, {"cell": "Township hospital (n=480)", "bbox": [270, 18, 349, 41]}, {"cell": "Total (n=714)", "bbox": [368, 24, 426, 35]}, {"cell": "Access to blood culture", "bbox": [6, 43, 104, 55]}, {"cell": "150 (64.1)", "bbox": [199, 43, 243, 55]}, {"cell": "[EMPTY_CELL]", "bbox": [287, 43, 331, 55]}, {"cell": "407 (57.0)", "bbox": [375, 43, 419, 55]}, {"cell": "Medical expense for illness† (median, IQR)", "bbox": [6, 57, 173, 69]}, {"cell": "263.9 (190.8, 389)", "bbox": [183, 57, 260, 69]}, {"cell": "[EMPTY_CELL]", "bbox": [270, 57, 348, 69]}, {"cell": "264 (180.1, 424.2)", "bbox": [358, 57, 436, 69]}, {"cell": "Percentage of reimbursement for all types of payment (%)", "bbox": [6, 71, 156, 95]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "0–10", "bbox": [11, 96, 32, 108]}, {"cell": "193 (82.5)", "bbox": [199, 96, 243, 108]}, {"cell": "[EMPTY_CELL]", "bbox": [287, 96, 331, 108]}, {"cell": "389 (54.5)", "bbox": [375, 96, 419, 108]}, {"cell": "11–50", "bbox": [11, 109, 37, 120]}, {"cell": "21 (9)", "bbox": [208, 109, 235, 120]}, {"cell": "[EMPTY_CELL]", "bbox": [291, 109, 328, 120]}, {"cell": "261 (36.6)", "bbox": [375, 109, 419, 120]}, {"cell": "51–100", "bbox": [11, 122, 42, 133]}, {"cell": "20 (8.5)", "bbox": [204, 122, 238, 133]}, {"cell": "[EMPTY_CELL]", "bbox": [292, 122, 326, 133]}, {"cell": "64 (9)", "bbox": [384, 122, 410, 133]}]}


[User]
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.

Please combine the final results into a single JSON object and return it in the following format:
{
  "html": "...",
  "cells": [{"cell": "...", "bbox": [...]}, ...]
}

[Assistant]
{"html": "

First author	Year	Country	Ethnicity	Sample size	Cases	Controls

[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	Cases	Controls	ε2/2	ε2/3	ε2/4	ε3/3	ε3/4	ε4/4	ε2/2	ε2/3	ε2/4	ε3/3	ε3/4	ε4/4

Vickers	2002	Australia	Other	142	51	6	8	7	78	42	1	2	[EMPTY_CELL]	2	30	6	2

Lake	2004	UK	Caucasian	155	349	1	16	10	91	31	6	3	[EMPTY_CELL]	13	208	81	7

Mabuchi	2005	Japan	Asian	310	179	0	14	2	259	35	0	0	[EMPTY_CELL]	0	123	38	0

Fan	2005	China	Asian	400	281	0	74	5	280	40	1	0	[EMPTY_CELL]	8	189	44	0

Lam	2006	China	Asian	400	300	0	74	5	280	40	1	0	[EMPTY_CELL]	8	203	47	0

Tamura	2006	Japan	Asian	28	77	0	2	1	16	8	1	2	[EMPTY_CELL]	1	61	6	0

Zetterberg	2007	Sweden	Caucasian	242	187	1	42	6	145	44	4	2	[EMPTY_CELL]	4	110	35	2

Saglar	2009	Turkey	Caucasian	75	119	0	12	1	53	8	1	0	[EMPTY_CELL]	1	88	19	2

Jia	2009	China	Asian	176	200	2	25	5	112	29	3	1	[EMPTY_CELL]	4	136	28	2

", "cells": [{"cell": "First author", "bbox": [1, 15, 39, 27]}, {"cell": "Year", "bbox": [55, 15, 71, 27]}, {"cell": "Country", "bbox": [85, 15, 112, 27]}, {"cell": "Ethnicity", "bbox": [132, 15, 161, 27]}, {"cell": "Sample size", "bbox": [187, 14, 226, 26]}, {"cell": "Cases", "bbox": [256, 14, 277, 26]}, {"cell": "Controls", "bbox": [376, 14, 405, 26]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Cases", "bbox": [187, 26, 208, 38]}, {"cell": "Controls", "bbox": [216, 26, 244, 38]}, {"cell": "ε2/2", "bbox": [256, 26, 270, 38]}, {"cell": "ε2/3", "bbox": [274, 26, 288, 38]}, {"cell": "ε2/4", "bbox": [293, 26, 308, 38]}, {"cell": "ε3/3", "bbox": [313, 26, 327, 38]}, {"cell": "ε3/4", "bbox": [338, 26, 353, 38]}, {"cell": "ε4/4", "bbox": [358, 26, 372, 38]}, {"cell": "ε2/2", "bbox": [376, 26, 391, 38]}, {"cell": "ε2/3", "bbox": [395, 26, 409, 38]}, {"cell": "ε2/4", "bbox": [414, 26, 428, 38]}, {"cell": "ε3/3", "bbox": [434, 26, 448, 38]}, {"cell": "ε3/4", "bbox": [459, 26, 473, 38]}, {"cell": "ε4/4", "bbox": [479, 26, 493, 38]}, {"cell": "Vickers", "bbox": [1, 38, 24, 49]}, {"cell": "2002", "bbox": [55, 38, 71, 49]}, {"cell": "Australia", "bbox": [85, 38, 112, 49]}, {"cell": "Other", "bbox": [132, 38, 150, 49]}, {"cell": "142", "bbox": [187, 38, 200, 49]}, {"cell": "51", "bbox": [216, 38, 225, 49]}, {"cell": "6", "bbox": [256, 38, 261, 49]}, {"cell": "8", "bbox": [274, 38, 279, 49]}, {"cell": "7", "bbox": [293, 38, 299, 49]}, {"cell": "78", "bbox": [313, 38, 322, 49]}, {"cell": "42", "bbox": [338, 38, 348, 49]}, {"cell": "1", "bbox": [358, 38, 364, 49]}, {"cell": "2", "bbox": [376, 38, 382, 49]}, {"cell": "[EMPTY_CELL]", "bbox": [395, 38, 400, 49]}, {"cell": "2", "bbox": [414, 38, 420, 49]}, {"cell": "30", "bbox": [434, 38, 443, 49]}, {"cell": "6", "bbox": [459, 38, 465, 49]}, {"cell": "2", "bbox": [479, 38, 485, 49]}, {"cell": "Lake", "bbox": [1, 49, 17, 60]}, {"cell": "2004", "bbox": [55, 49, 71, 60]}, {"cell": "UK", "bbox": [85, 49, 96, 60]}, {"cell": "Caucasian", "bbox": [132, 49, 165, 60]}, {"cell": "155", "bbox": [187, 49, 200, 60]}, {"cell": "349", "bbox": [216, 49, 228, 60]}, {"cell": "1", "bbox": [256, 49, 261, 60]}, {"cell": "16", "bbox": [274, 49, 283, 60]}, {"cell": "10", "bbox": [293, 49, 303, 60]}, {"cell": "91", "bbox": [313, 49, 322, 60]}, {"cell": "31", "bbox": [338, 49, 348, 60]}, {"cell": "6", "bbox": [358, 49, 364, 60]}, {"cell": "3", "bbox": [376, 49, 382, 60]}, {"cell": "[EMPTY_CELL]", "bbox": [395, 49, 404, 60]}, {"cell": "13", "bbox": [414, 49, 424, 60]}, {"cell": "208", "bbox": [434, 49, 447, 60]}, {"cell": "81", "bbox": [459, 49, 469, 60]}, {"cell": "7", "bbox": [479, 49, 485, 60]}, {"cell": "Mabuchi", "bbox": [1, 60, 27, 71]}, {"cell": "2005", "bbox": [55, 60, 71, 71]}, {"cell": "Japan", "bbox": [85, 60, 105, 71]}, {"cell": "Asian", "bbox": [132, 60, 150, 71]}, {"cell": "310", "bbox": [187, 60, 200, 71]}, {"cell": "179", "bbox": [216, 60, 228, 71]}, {"cell": "0", "bbox": [256, 60, 261, 71]}, {"cell": "14", "bbox": [274, 60, 283, 71]}, {"cell": "2", "bbox": [293, 60, 299, 71]}, {"cell": "259", "bbox": [313, 60, 326, 71]}, {"cell": "35", "bbox": [338, 60, 348, 71]}, {"cell": "0", "bbox": [358, 60, 364, 71]}, {"cell": "0", "bbox": [376, 60, 382, 71]}, {"cell": "[EMPTY_CELL]", "bbox": [395, 60, 404, 71]}, {"cell": "0", "bbox": [414, 60, 420, 71]}, {"cell": "123", "bbox": [434, 60, 447, 71]}, {"cell": "38", "bbox": [459, 60, 469, 71]}, {"cell": "0", "bbox": [479, 60, 485, 71]}, {"cell": "Fan", "bbox": [1, 71, 14, 82]}, {"cell": "2005", "bbox": [55, 71, 71, 82]}, {"cell": "China", "bbox": [85, 71, 104, 82]}, {"cell": "Asian", "bbox": [132, 71, 150, 82]}, {"cell": "400", "bbox": [187, 71, 200, 82]}, {"cell": "281", "bbox": [216, 71, 228, 82]}, {"cell": "0", "bbox": [256, 71, 261, 82]}, {"cell": "74", "bbox": [274, 71, 283, 82]}, {"cell": "5", "bbox": [293, 71, 299, 82]}, {"cell": "280", "bbox": [313, 71, 326, 82]}, {"cell": "40", "bbox": [338, 71, 348, 82]}, {"cell": "1", "bbox": [358, 71, 364, 82]}, {"cell": "0", "bbox": [376, 71, 382, 82]}, {"cell": "[EMPTY_CELL]", "bbox": [395, 71, 404, 82]}, {"cell": "8", "bbox": [414, 71, 420, 82]}, {"cell": "189", "bbox": [434, 71, 447, 82]}, {"cell": "44", "bbox": [459, 71, 469, 82]}, {"cell": "0", "bbox": [479, 71, 485, 82]}, {"cell": "Lam", "bbox": [1, 82, 15, 93]}, {"cell": "2006", "bbox": [55, 82, 71, 93]}, {"cell": "China", "bbox": [85, 82, 104, 93]}, {"cell": "Asian", "bbox": [132, 82, 150, 93]}, {"cell": "400", "bbox": [187, 82, 200, 93]}, {"cell": "300", "bbox": [216, 82, 228, 93]}, {"cell": "0", "bbox": [256, 82, 261, 93]}, {"cell": "74", "bbox": [274, 82, 283, 93]}, {"cell": "5", "bbox": [293, 82, 299, 93]}, {"cell": "280", "bbox": [313, 82, 326, 93]}, {"cell": "40", "bbox": [338, 82, 348, 93]}, {"cell": "1", "bbox": [358, 82, 364, 93]}, {"cell": "0", "bbox": [376, 82, 382, 93]}, {"cell": "[EMPTY_CELL]", "bbox": [395, 82, 404, 93]}, {"cell": "8", "bbox": [414, 82, 420, 93]}, {"cell": "203", "bbox": [434, 82, 447, 93]}, {"cell": "47", "bbox": [459, 82, 469, 93]}, {"cell": "0", "bbox": [479, 82, 485, 93]}, {"cell": "Tamura", "bbox": [1, 93, 25, 104]}, {"cell": "2006", "bbox": [55, 93, 71, 104]}, {"cell": "Japan", "bbox": [85, 93, 105, 104]}, {"cell": "Asian", "bbox": [132, 93, 150, 104]}, {"cell": "28", "bbox": [187, 93, 196, 104]}, {"cell": "77", "bbox": [216, 93, 225, 104]}, {"cell": "0", "bbox": [256, 93, 261, 104]}, {"cell": "2", "bbox": [274, 93, 279, 104]}, {"cell": "1", "bbox": [293, 93, 299, 104]}, {"cell": "16", "bbox": [313, 93, 322, 104]}, {"cell": "8", "bbox": [338, 93, 344, 104]}, {"cell": "1", "bbox": [358, 93, 364, 104]}, {"cell": "2", "bbox": [376, 93, 382, 104]}, {"cell": "[EMPTY_CELL]", "bbox": [395, 93, 400, 104]}, {"cell": "1", "bbox": [414, 93, 420, 104]}, {"cell": "61", "bbox": [434, 93, 443, 104]}, {"cell": "6", "bbox": [459, 93, 465, 104]}, {"cell": "0", "bbox": [479, 93, 485, 104]}, {"cell": "Zetterberg", "bbox": [1, 104, 32, 115]}, {"cell": "2007", "bbox": [55, 104, 71, 115]}, {"cell": "Sweden", "bbox": [85, 104, 111, 115]}, {"cell": "Caucasian", "bbox": [132, 104, 165, 115]}, {"cell": "242", "bbox": [187, 104, 200, 115]}, {"cell": "187", "bbox": [216, 104, 228, 115]}, {"cell": "1", "bbox": [256, 104, 261, 115]}, {"cell": "42", "bbox": [274, 104, 283, 115]}, {"cell": "6", "bbox": [293, 104, 299, 115]}, {"cell": "145", "bbox": [313, 104, 326, 115]}, {"cell": "44", "bbox": [338, 104, 348, 115]}, {"cell": "4", "bbox": [358, 104, 364, 115]}, {"cell": "2", "bbox": [376, 104, 382, 115]}, {"cell": "[EMPTY_CELL]", "bbox": [395, 104, 404, 115]}, {"cell": "4", "bbox": [414, 104, 420, 115]}, {"cell": "110", "bbox": [434, 104, 447, 115]}, {"cell": "35", "bbox": [459, 104, 469, 115]}, {"cell": "2", "bbox": [479, 104, 485, 115]}, {"cell": "Saglar", "bbox": [1, 115, 21, 126]}, {"cell": "2009", "bbox": [55, 115, 71, 126]}, {"cell": "Turkey", "bbox": [85, 115, 107, 126]}, {"cell": "Caucasian", "bbox": [132, 115, 165, 126]}, {"cell": "75", "bbox": [187, 115, 196, 126]}, {"cell": "119", "bbox": [216, 115, 228, 126]}, {"cell": "0", "bbox": [256, 115, 261, 126]}, {"cell": "12", "bbox": [274, 115, 283, 126]}, {"cell": "1", "bbox": [293, 115, 299, 126]}, {"cell": "53", "bbox": [313, 115, 322, 126]}, {"cell": "8", "bbox": [338, 115, 344, 126]}, {"cell": "1", "bbox": [358, 115, 364, 126]}, {"cell": "0", "bbox": [376, 115, 382, 126]}, {"cell": "[EMPTY_CELL]", "bbox": [395, 115, 400, 126]}, {"cell": "1", "bbox": [414, 115, 420, 126]}, {"cell": "88", "bbox": [434, 115, 443, 126]}, {"cell": "19", "bbox": [459, 115, 469, 126]}, {"cell": "2", "bbox": [479, 115, 485, 126]}, {"cell": "Jia", "bbox": [1, 126, 11, 137]}, {"cell": "2009", "bbox": [55, 126, 71, 137]}, {"cell": "China", "bbox": [85, 126, 104, 137]}, {"cell": "Asian", "bbox": [132, 126, 150, 137]}, {"cell": "176", "bbox": [187, 126, 200, 137]}, {"cell": "200", "bbox": [216, 126, 228, 137]}, {"cell": "2", "bbox": [256, 126, 261, 137]}, {"cell": "25", "bbox": [274, 126, 283, 137]}, {"cell": "5", "bbox": [293, 126, 299, 137]}, {"cell": "112", "bbox": [313, 126, 326, 137]}, {"cell": "29", "bbox": [338, 126, 348, 137]}, {"cell": "3", "bbox": [358, 126, 364, 137]}, {"cell": "1", "bbox": [376, 126, 382, 137]}, {"cell": "[EMPTY_CELL]", "bbox": [395, 126, 404, 137]}, {"cell": "4", "bbox": [414, 126, 420, 137]}, {"cell": "136", "bbox": [434, 126, 447, 137]}, {"cell": "28", "bbox": [459, 126, 469, 137]}, {"cell": "2", "bbox": [479, 126, 485, 137]}]}


[User]
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.

Please combine the final results into a single JSON object and return it in the following format:
{
  "html": "...",
  "cells": [{"cell": "...", "bbox": [...]}, ...]
}

[Assistant]
{"html": "

Latent threat identified	Implemented change

Insufficient knowledge and skills to use an intraosseous needle	[EMPTY_CELL]

Deficient team performance regarding leadership, role allocation and resuscitation calls	[EMPTY_CELL]

Insufficient handover (lack of information, information unclear, not structured)	[EMPTY_CELL]

Fixation resulting in a loss of awareness of time during critical events at the emergency department	[EMPTY_CELL]

Failures and time delay to drawn up adrenaline (epinephrine)	[EMPTY_CELL]

Insufficient resuscitation equipment at the wards and the emergency department for adults	[EMPTY_CELL]

", "cells": [{"cell": "Latent threat identified", "bbox": [1, 4, 76, 13]}, {"cell": "Implemented change", "bbox": [259, 4, 331, 13]}, {"cell": "Insufficient knowledge and skills to use an intraosseous needle", "bbox": [1, 17, 204, 27]}, {"cell": "[EMPTY_CELL]", "bbox": [259, 17, 435, 27]}, {"cell": "Deficient team performance regarding leadership, role allocation and resuscitation calls", "bbox": [1, 31, 210, 50]}, {"cell": "[EMPTY_CELL]", "bbox": [259, 31, 467, 50]}, {"cell": "Insufficient handover (lack of information, information unclear, not structured)", "bbox": [1, 54, 202, 73]}, {"cell": "[EMPTY_CELL]", "bbox": [259, 54, 484, 73]}, {"cell": "Fixation resulting in a loss of awareness of time during critical events at the emergency department", "bbox": [1, 77, 201, 96]}, {"cell": "[EMPTY_CELL]", "bbox": [259, 77, 464, 87]}, {"cell": "Failures and time delay to drawn up adrenaline (epinephrine)", "bbox": [1, 100, 200, 110]}, {"cell": "[EMPTY_CELL]", "bbox": [259, 100, 475, 119]}, {"cell": "Insufficient resuscitation equipment at the wards and the emergency department for adults", "bbox": [1, 123, 225, 142]}, {"cell": "[EMPTY_CELL]", "bbox": [259, 123, 471, 142]}]}


[User]
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.

Please combine the final results into a single JSON object and return it in the following format:
{
  "html": "...",
  "cells": [{"cell": "...", "bbox": [...]}, ...]
}

[Assistant]
{"html": "

[EMPTY_CELL]	Full population (excluding those with regular visits) (n = 20,041)	Regular visits sub-cohort (n = 9812)

Age, mean years (SD)	57.9 (13.4)	[EMPTY_CELL]

Sex, n female (%)	15,193 (76.3)	[EMPTY_CELL]

Duration of RA, mean years (SD)	9.1 (9.7)	[EMPTY_CELL]

Disabled, n (%)	2439 (12.3)	[EMPTY_CELL]

Patient paina, mean score (SD)	34.6 (27.7)	[EMPTY_CELL]

TJC28, mean n (SD)	4.6 (6.2)	[EMPTY_CELL]

SJC28, mean n (SD)	4.5 (5.6)	[EMPTY_CELL]

PtGA, mean score (SD)	32.0 (26.7)	[EMPTY_CELL]

PGA, mean score (SD)	25.7 (21.9)	[EMPTY_CELL]

CDAI, mean score (SD)	14.8 (13.3)	[EMPTY_CELL]

CDAI category, n (%)

 Low (score >2.8 to ≤10)	9435 (47.1)	[EMPTY_CELL]

 Moderate (score >10 to ≤22)	5674 (28.3)	[EMPTY_CELL]

 Severe (score >22)	4929 (24.6)	[EMPTY_CELL]

History of biologic DMARD use, n (%)	9411 (47.0)	[EMPTY_CELL]

", "cells": [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Full population (excluding those with regular visits) (n = 20,041)", "bbox": [180, 4, 346, 22]}, {"cell": "Regular visits sub-cohort (n = 9812)", "bbox": [404, 4, 484, 22]}, {"cell": "Age, mean years (SD)", "bbox": [1, 26, 71, 36]}, {"cell": "57.9 (13.4)", "bbox": [180, 26, 214, 36]}, {"cell": "[EMPTY_CELL]", "bbox": [404, 26, 438, 36]}, {"cell": "Sex, n female (%)", "bbox": [1, 40, 57, 50]}, {"cell": "15,193 (76.3)", "bbox": [180, 40, 222, 50]}, {"cell": "[EMPTY_CELL]", "bbox": [404, 40, 441, 50]}, {"cell": "Duration of RA, mean years (SD)", "bbox": [1, 54, 106, 64]}, {"cell": "9.1 (9.7)", "bbox": [180, 54, 206, 64]}, {"cell": "[EMPTY_CELL]", "bbox": [404, 54, 431, 64]}, {"cell": "Disabled, n (%)", "bbox": [1, 68, 50, 78]}, {"cell": "2439 (12.3)", "bbox": [180, 68, 216, 78]}, {"cell": "[EMPTY_CELL]", "bbox": [404, 68, 441, 78]}, {"cell": "Patient paina, mean score (SD)", "bbox": [1, 80, 100, 92]}, {"cell": "34.6 (27.7)", "bbox": [180, 82, 214, 92]}, {"cell": "[EMPTY_CELL]", "bbox": [404, 82, 438, 92]}, {"cell": "TJC28, mean n (SD)", "bbox": [1, 96, 65, 106]}, {"cell": "4.6 (6.2)", "bbox": [180, 96, 206, 106]}, {"cell": "[EMPTY_CELL]", "bbox": [404, 96, 431, 106]}, {"cell": "SJC28, mean n (SD)", "bbox": [1, 110, 65, 120]}, {"cell": "4.5 (5.6)", "bbox": [180, 110, 206, 120]}, {"cell": "[EMPTY_CELL]", "bbox": [404, 110, 431, 120]}, {"cell": "PtGA, mean score (SD)", "bbox": [1, 124, 75, 134]}, {"cell": "32.0 (26.7)", "bbox": [180, 124, 214, 134]}, {"cell": "[EMPTY_CELL]", "bbox": [404, 124, 438, 134]}, {"cell": "PGA, mean score (SD)", "bbox": [1, 138, 72, 148]}, {"cell": "25.7 (21.9)", "bbox": [180, 138, 214, 148]}, {"cell": "[EMPTY_CELL]", "bbox": [404, 138, 438, 148]}, {"cell": "CDAI, mean score (SD)", "bbox": [1, 152, 75, 162]}, {"cell": "14.8 (13.3)", "bbox": [180, 152, 214, 162]}, {"cell": "[EMPTY_CELL]", "bbox": [404, 152, 438, 162]}, {"cell": "CDAI category, n (%)", "bbox": [1, 166, 69, 176]}, {"cell": " Low (score >2.8 to ≤10)", "bbox": [8, 180, 88, 190]}, {"cell": "9435 (47.1)", "bbox": [180, 180, 216, 190]}, {"cell": "[EMPTY_CELL]", "bbox": [404, 180, 441, 190]}, {"cell": " Moderate (score >10 to ≤22)", "bbox": [8, 194, 104, 204]}, {"cell": "5674 (28.3)", "bbox": [180, 194, 216, 204]}, {"cell": "[EMPTY_CELL]", "bbox": [404, 194, 441, 204]}, {"cell": " Severe (score >22)", "bbox": [8, 208, 70, 218]}, {"cell": "4929 (24.6)", "bbox": [180, 208, 216, 218]}, {"cell": "[EMPTY_CELL]", "bbox": [404, 208, 441, 218]}, {"cell": "History of biologic DMARD use, n (%)", "bbox": [1, 222, 122, 232]}, {"cell": "9411 (47.0)", "bbox": [180, 222, 216, 232]}, {"cell": "[EMPTY_CELL]", "bbox": [404, 222, 441, 232]}]}


[User]
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.

Please combine the final results into a single JSON object and return it in the following format:
{
  "html": "...",
  "cells": [{"cell": "...", "bbox": [...]}, ...]
}

[Assistant]
{"html": "

[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]	Initial growth on CAB	Growth on MM agar

NMB	Function	Gene	TraSH prediction	TraSH ratio	Experimental phenotype	TraSH prediction	Change in TraSH ratio	Experimental phenotype

ΔNMB1646	[EMPTY_CELL]	[EMPTY_CELL]	Non-ess	0.74	Non-ess	Non-ess	1.40	Non-ess

ΔNMB0696	[EMPTY_CELL]	[EMPTY_CELL]	Non-ess	0.495	Non-ess	Ess	-1.62	Non-ess

ΔNMB0719	[EMPTY_CELL]	tgt	Non-ess	1.25	Non-ess	Ess	-3.00	Ess

ΔNMB1338	[EMPTY_CELL]	[EMPTY_CELL]	Non-ess	-0.034	Non-ess	Ess	-1.67	Ess

ΔNMB1277	[EMPTY_CELL]	[EMPTY_CELL]	Non-ess	-0.0625	Non-ess	Ess	-1.62	Ess

ΔNMB1295	[EMPTY_CELL]	mutM	Non-ess	-0.174	Non-ess	Ess	-1.49	Ess

ΔNMB0318	[EMPTY_CELL]	emrA	Non-ess	2.28	Non-ess	Ess	-3.29	Ess

ΔNMB2061	[EMPTY_CELL]	ppc	Non-ess	1.52	Non-ess	Ess	-1.83	Ess

ΔNMB0951	[EMPTY_CELL]	sdhB	Non-ess	1.10	Non-ess	Ess	-3.13	Ess

", "cells": [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Initial growth on CAB", "bbox": [196, 4, 274, 13]}, {"cell": "Growth on MM agar", "bbox": [362, 4, 435, 13]}, {"cell": "NMB", "bbox": [1, 17, 19, 27]}, {"cell": "Function", "bbox": [41, 17, 73, 27]}, {"cell": "Gene", "bbox": [138, 17, 158, 27]}, {"cell": "TraSH prediction", "bbox": [166, 17, 203, 36]}, {"cell": "TraSH ratio", "bbox": [214, 17, 236, 36]}, {"cell": "Experimental phenotype", "bbox": [252, 17, 300, 36]}, {"cell": "TraSH prediction", "bbox": [315, 17, 352, 36]}, {"cell": "Change in TraSH ratio", "bbox": [368, 17, 409, 36]}, {"cell": "Experimental phenotype", "bbox": [429, 17, 476, 36]}, {"cell": "ΔNMB1646", "bbox": [1, 39, 37, 49]}, {"cell": "[EMPTY_CELL]", "bbox": [41, 39, 112, 49]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Non-ess", "bbox": [171, 39, 198, 49]}, {"cell": "0.74", "bbox": [218, 39, 233, 49]}, {"cell": "Non-ess", "bbox": [262, 39, 290, 49]}, {"cell": "Non-ess", "bbox": [320, 39, 347, 49]}, {"cell": "1.40", "bbox": [381, 39, 396, 49]}, {"cell": "Non-ess", "bbox": [439, 39, 466, 49]}, {"cell": "ΔNMB0696", "bbox": [1, 51, 37, 61]}, {"cell": "[EMPTY_CELL]", "bbox": [41, 51, 111, 70]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Non-ess", "bbox": [171, 51, 198, 61]}, {"cell": "0.495", "bbox": [216, 51, 234, 61]}, {"cell": "Non-ess", "bbox": [262, 51, 290, 61]}, {"cell": "Ess", "bbox": [328, 51, 339, 61]}, {"cell": "-1.62", "bbox": [380, 51, 397, 61]}, {"cell": "Non-ess", "bbox": [439, 51, 466, 61]}, {"cell": "ΔNMB0719", "bbox": [1, 72, 37, 82]}, {"cell": "[EMPTY_CELL]", "bbox": [41, 72, 98, 91]}, {"cell": "tgt", "bbox": [138, 72, 148, 82]}, {"cell": "Non-ess", "bbox": [171, 72, 198, 82]}, {"cell": "1.25", "bbox": [218, 72, 233, 82]}, {"cell": "Non-ess", "bbox": [262, 72, 290, 82]}, {"cell": "Ess", "bbox": [328, 72, 339, 82]}, {"cell": "-3.00", "bbox": [380, 72, 397, 82]}, {"cell": "Ess", "bbox": [447, 72, 458, 82]}, {"cell": "ΔNMB1338", "bbox": [1, 93, 37, 103]}, {"cell": "[EMPTY_CELL]", "bbox": [41, 93, 102, 103]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Non-ess", "bbox": [171, 93, 198, 103]}, {"cell": "-0.034", "bbox": [215, 93, 236, 103]}, {"cell": "Non-ess", "bbox": [262, 93, 290, 103]}, {"cell": "Ess", "bbox": [328, 93, 339, 103]}, {"cell": "-1.67", "bbox": [380, 93, 397, 103]}, {"cell": "Ess", "bbox": [447, 93, 458, 103]}, {"cell": "ΔNMB1277", "bbox": [1, 105, 37, 115]}, {"cell": "[EMPTY_CELL]", "bbox": [41, 105, 106, 115]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Non-ess", "bbox": [170, 105, 198, 115]}, {"cell": "-0.0625", "bbox": [213, 105, 238, 115]}, {"cell": "Non-ess", "bbox": [262, 105, 290, 115]}, {"cell": "Ess", "bbox": [328, 105, 339, 115]}, {"cell": "-1.62", "bbox": [380, 105, 397, 115]}, {"cell": "Ess", "bbox": [447, 105, 458, 115]}, {"cell": "ΔNMB1295", "bbox": [1, 117, 37, 127]}, {"cell": "[EMPTY_CELL]", "bbox": [41, 117, 131, 136]}, {"cell": "mutM", "bbox": [138, 117, 158, 126]}, {"cell": "Non-ess", "bbox": [170, 117, 198, 127]}, {"cell": "-0.174", "bbox": [215, 117, 236, 127]}, {"cell": "Non-ess", "bbox": [262, 117, 290, 127]}, {"cell": "Ess", "bbox": [328, 117, 339, 127]}, {"cell": "-1.49", "bbox": [380, 117, 397, 127]}, {"cell": "Ess", "bbox": [447, 117, 458, 127]}, {"cell": "ΔNMB0318", "bbox": [1, 138, 37, 147]}, {"cell": "[EMPTY_CELL]", "bbox": [41, 138, 133, 156]}, {"cell": "emrA", "bbox": [138, 138, 156, 147]}, {"cell": "Non-ess", "bbox": [170, 138, 198, 147]}, {"cell": "2.28", "bbox": [218, 138, 233, 147]}, {"cell": "Non-ess", "bbox": [262, 138, 290, 147]}, {"cell": "Ess", "bbox": [328, 138, 339, 147]}, {"cell": "-3.29", "bbox": [380, 138, 397, 147]}, {"cell": "Ess", "bbox": [447, 138, 458, 147]}, {"cell": "ΔNMB2061", "bbox": [1, 159, 37, 168]}, {"cell": "[EMPTY_CELL]", "bbox": [41, 159, 113, 177]}, {"cell": "ppc", "bbox": [138, 159, 151, 168]}, {"cell": "Non-ess", "bbox": [170, 159, 198, 168]}, {"cell": "1.52", "bbox": [218, 159, 233, 168]}, {"cell": "Non-ess", "bbox": [262, 159, 290, 168]}, {"cell": "Ess", "bbox": [328, 159, 339, 168]}, {"cell": "-1.83", "bbox": [380, 159, 397, 168]}, {"cell": "Ess", "bbox": [447, 159, 458, 168]}, {"cell": "ΔNMB0951", "bbox": [0, 180, 37, 189]}, {"cell": "[EMPTY_CELL]", "bbox": [41, 180, 125, 189]}, {"cell": "sdhB", "bbox": [138, 180, 154, 189]}, {"cell": "Non-ess", "bbox": [170, 180, 198, 189]}, {"cell": "1.10", "bbox": [218, 180, 233, 189]}, {"cell": "Non-ess", "bbox": [262, 180, 290, 189]}, {"cell": "Ess", "bbox": [328, 180, 339, 189]}, {"cell": "-3.13", "bbox": [380, 180, 397, 189]}, {"cell": "Ess", "bbox": [447, 180, 458, 189]}]}


[User]
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.

Please combine the final results into a single JSON object and return it in the following format:
{
  "html": "...",
  "cells": [{"cell": "...", "bbox": [...]}, ...]
}

[Assistant]
{"html": "

Gene	Primer nucleotide sequences	Product size (base pairs)	Annealing temperature

CD34	Forward: 5’-GCCTGGAGCAAAATAAGACCTC-3’Reverse: 5’-AGGATCCCCAGCTTTTTCAGG-3′	[EMPTY_CELL]	55 °C

CD45	Forward: 5’-TGTGGAGCCAATCCATGCAGA-3’Reverse: 5’-GTTTGACCCTGCATCTCCGTT-3′	[EMPTY_CELL]	55 °C

CD90	Forward: 5’-CACACATACCGCTCCCGAA-3’Reverse: 5’-CACCAGTCACAGGGACATGAA-3′	[EMPTY_CELL]	55 °C

CD105	Forward: 5’-ATACCACTAGCCAGGTCTCGAA-3’Reverse: 5’-ATGGCAGCTCTGTGGTGTTG-3′	[EMPTY_CELL]	55 °C

NF-kB	Forward: 5′-CAGCAGATGGCCCATACCTT-3′Reverse: 5′-CACCATGTCCTTGGGTCCAG-3′	[EMPTY_CELL]	55 °C

mTOR	Forward: 5′-GCCCCTACATGGAGCCTATTC-3′Reverse: 5′-CCTGGAGCATGTCCATGATGA-3′	[EMPTY_CELL]	55 °C

Oct4	Forward: 5’-CTCACCCTGGGGGTTCTATT-3’Reverse: 5’-CTCCAGGTTGCCTCTCACTC-3’	[EMPTY_CELL]	55 °C

SOX2	Forward: 5′-CATGAAGGAGCACCCGGATT-3′Reverse: 5′-ATGTGCGCGTAACTGTCCAT-3′	[EMPTY_CELL]	55 °C

TNF-α	Forward: 5′-AGGGACCTCTCTCTAATCAGCC-3′Reverse: 5′-GCTTGAGGGTTTGCTACAACA-3′	[EMPTY_CELL]	55 °C

IL-6	Forward: 5′-TCCTCGACGGCATCTCA-3′Reverse: 5′-TTTTCACCAGGCAAGTCTCCT-3′	[EMPTY_CELL]	55 °C

COX-2	Forward: 5′-TGTGTTGACATCCAGATCACAT-3′Reverse: 5′-GGAGTCGGGCAATCATCAGG-3′	[EMPTY_CELL]	55 °C

IL-10	Forward: 5′-CAAGCTGAGAACCAAGACCC-3′Reverse: 5′-AAGATGTCAAACTCACTCATGGC-3′	[EMPTY_CELL]	55 °C

TGF-β	Forward: 5′-ACTGCAAGTGGACATCAACG-3′Reverse: 5′-TGCGGAAGTCAATGTACAGC-3′	[EMPTY_CELL]	55 °C

β-actin	Forward: 5’-GCACTCTTCCAGCCTTCCTTCC-3’Reverse: 5’-GAGCCGCCGATCCACACG-3’	[EMPTY_CELL]	55 °C

", "cells": [{"cell": "Gene", "bbox": [1, 4, 19, 13]}, {"cell": "Primer nucleotide sequences", "bbox": [77, 4, 171, 13]}, {"cell": "Product size (base pairs)", "bbox": [277, 4, 356, 13]}, {"cell": "Annealing temperature", "bbox": [408, 4, 484, 13]}, {"cell": "CD34", "bbox": [1, 17, 20, 26]}, {"cell": "Forward: 5’-GCCTGGAGCAAAATAAGACCTC-3’Reverse: 5’-AGGATCCCCAGCTTTTTCAGG-3′", "bbox": [77, 17, 223, 35]}, {"cell": "[EMPTY_CELL]", "bbox": [277, 17, 301, 26]}, {"cell": "55 °C", "bbox": [408, 17, 427, 26]}, {"cell": "CD45", "bbox": [1, 40, 20, 49]}, {"cell": "Forward: 5’-TGTGGAGCCAATCCATGCAGA-3’Reverse: 5’-GTTTGACCCTGCATCTCCGTT-3′", "bbox": [77, 40, 218, 58]}, {"cell": "[EMPTY_CELL]", "bbox": [277, 40, 301, 49]}, {"cell": "55 °C", "bbox": [408, 40, 427, 49]}, {"cell": "CD90", "bbox": [1, 63, 20, 72]}, {"cell": "Forward: 5’-CACACATACCGCTCCCGAA-3’Reverse: 5’-CACCAGTCACAGGGACATGAA-3′", "bbox": [77, 63, 218, 81]}, {"cell": "[EMPTY_CELL]", "bbox": [277, 63, 301, 72]}, {"cell": "55 °C", "bbox": [408, 63, 427, 72]}, {"cell": "CD105", "bbox": [1, 86, 24, 95]}, {"cell": "Forward: 5’-ATACCACTAGCCAGGTCTCGAA-3’Reverse: 5’-ATGGCAGCTCTGTGGTGTTG-3′", "bbox": [77, 86, 222, 104]}, {"cell": "[EMPTY_CELL]", "bbox": [277, 86, 301, 95]}, {"cell": "55 °C", "bbox": [408, 86, 427, 95]}, {"cell": "NF-kB", "bbox": [1, 109, 21, 118]}, {"cell": "Forward: 5′-CAGCAGATGGCCCATACCTT-3′Reverse: 5′-CACCATGTCCTTGGGTCCAG-3′", "bbox": [77, 109, 213, 127]}, {"cell": "[EMPTY_CELL]", "bbox": [277, 109, 301, 118]}, {"cell": "55 °C", "bbox": [408, 109, 427, 118]}, {"cell": "mTOR", "bbox": [1, 132, 22, 141]}, {"cell": "Forward: 5′-GCCCCTACATGGAGCCTATTC-3′Reverse: 5′-CCTGGAGCATGTCCATGATGA-3′", "bbox": [77, 132, 217, 150]}, {"cell": "[EMPTY_CELL]", "bbox": [277, 132, 301, 141]}, {"cell": "55 °C", "bbox": [408, 132, 427, 141]}, {"cell": "Oct4", "bbox": [1, 155, 18, 164]}, {"cell": "Forward: 5’-CTCACCCTGGGGGTTCTATT-3’Reverse: 5’-CTCCAGGTTGCCTCTCACTC-3’", "bbox": [77, 155, 210, 173]}, {"cell": "[EMPTY_CELL]", "bbox": [277, 155, 301, 164]}, {"cell": "55 °C", "bbox": [408, 155, 427, 164]}, {"cell": "SOX2", "bbox": [1, 178, 20, 187]}, {"cell": "Forward: 5′-CATGAAGGAGCACCCGGATT-3′Reverse: 5′-ATGTGCGCGTAACTGTCCAT-3′", "bbox": [77, 178, 215, 196]}, {"cell": "[EMPTY_CELL]", "bbox": [277, 178, 301, 187]}, {"cell": "55 °C", "bbox": [408, 178, 427, 187]}, {"cell": "TNF-α", "bbox": [0, 201, 21, 210]}, {"cell": "Forward: 5′-AGGGACCTCTCTCTAATCAGCC-3′Reverse: 5′-GCTTGAGGGTTTGCTACAACA-3′", "bbox": [77, 201, 222, 219]}, {"cell": "[EMPTY_CELL]", "bbox": [277, 201, 301, 210]}, {"cell": "55 °C", "bbox": [408, 201, 427, 210]}, {"cell": "IL-6", "bbox": [0, 224, 14, 233]}, {"cell": "Forward: 5′-TCCTCGACGGCATCTCA-3′Reverse: 5′-TTTTCACCAGGCAAGTCTCCT-3′", "bbox": [77, 224, 213, 242]}, {"cell": "[EMPTY_CELL]", "bbox": [277, 224, 301, 233]}, {"cell": "55 °C", "bbox": [408, 224, 427, 233]}, {"cell": "COX-2", "bbox": [0, 247, 23, 256]}, {"cell": "Forward: 5′-TGTGTTGACATCCAGATCACAT-3′Reverse: 5′-GGAGTCGGGCAATCATCAGG-3′", "bbox": [77, 247, 220, 265]}, {"cell": "[EMPTY_CELL]", "bbox": [277, 247, 301, 256]}, {"cell": "55 °C", "bbox": [408, 247, 427, 256]}, {"cell": "IL-10", "bbox": [1, 270, 18, 279]}, {"cell": "Forward: 5′-CAAGCTGAGAACCAAGACCC-3′Reverse: 5′-AAGATGTCAAACTCACTCATGGC-3′", "bbox": [77, 270, 225, 288]}, {"cell": "[EMPTY_CELL]", "bbox": [277, 270, 301, 279]}, {"cell": "55 °C", "bbox": [408, 270, 427, 279]}, {"cell": "TGF-β", "bbox": [1, 293, 21, 302]}, {"cell": "Forward: 5′-ACTGCAAGTGGACATCAACG-3′Reverse: 5′-TGCGGAAGTCAATGTACAGC-3′", "bbox": [77, 293, 215, 311]}, {"cell": "[EMPTY_CELL]", "bbox": [277, 293, 301, 302]}, {"cell": "55 °C", "bbox": [408, 293, 427, 302]}, {"cell": "β-actin", "bbox": [1, 316, 25, 325]}, {"cell": "Forward: 5’-GCACTCTTCCAGCCTTCCTTCC-3’Reverse: 5’-GAGCCGCCGATCCACACG-3’", "bbox": [77, 316, 218, 334]}, {"cell": "[EMPTY_CELL]", "bbox": [277, 316, 301, 325]}, {"cell": "55 °C", "bbox": [408, 316, 427, 325]}]}


[User]
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.

Please combine the final results into a single JSON object and return it in the following format:
{
  "html": "...",
  "cells": [{"cell": "...", "bbox": [...]}, ...]
}

[Assistant]
{"html": "

N = 119	Number in Group	Multiple lesions(N = 95)	%	OR - UNI	CI 95% - UNI	OR - MULTI1	CI MULTI

Age ≤ 32 years	[EMPTY_CELL]	47	75.8%	1	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]

Age > 32 years	[EMPTY_CELL]	48	84.2%	1.702	0.679-4.267	1.699	0.620-4.653

Scars at diagnosisNO	[EMPTY_CELL]	79	78.2%	1	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]

Scars at diagnosisYES	[EMPTY_CELL]	16	88.9%	2.228	0.476-10.434	1.81	0.349-9.383

CRP < 12 mg/dL	[EMPTY_CELL]	45	77.6%	1	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]

CRP > = 12 mg/dL	[EMPTY_CELL]	47	81.0%	1.234	0.501-3.039	1.151	0.425-3.117

Negative urinary cultures or hemocultures	[EMPTY_CELL]	60	74.1%	1	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]

Positive urinary cultures and/or hemocultures	[EMPTY_CELL]	35	92.1%	4.083	1.136-14.679	4.204	1.139-15.515

Presence of the 3 main symptoms	[EMPTY_CELL]	65	84.4%	1	[EMPTY_CELL]	[EMPTY_CELL]	[EMPTY_CELL]

Absence of at least one of the 3 main symptoms	[EMPTY_CELL]	30	71.4%	0.462	0.186-1.146	0.437	0.168-1.13

", "cells": [{"cell": "N = 119", "bbox": [61, 4, 91, 13]}, {"cell": "Number in Group", "bbox": [165, 4, 204, 22]}, {"cell": "Multiple lesions(N = 95)", "bbox": [230, 4, 260, 31]}, {"cell": "%", "bbox": [282, 4, 291, 13]}, {"cell": "OR - UNI", "bbox": [302, 4, 335, 13]}, {"cell": "CI 95% - UNI", "bbox": [339, 4, 385, 13]}, {"cell": "OR - MULTI1", "bbox": [389, 2, 434, 13]}, {"cell": "CI MULTI", "bbox": [445, 4, 478, 13]}, {"cell": "Age ≤ 32 years", "bbox": [50, 35, 101, 45]}, {"cell": "[EMPTY_CELL]", "bbox": [180, 35, 190, 45]}, {"cell": "47", "bbox": [240, 35, 250, 45]}, {"cell": "75.8%", "bbox": [276, 35, 297, 45]}, {"cell": "1", "bbox": [316, 35, 321, 45]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Age > 32 years", "bbox": [50, 48, 101, 58]}, {"cell": "[EMPTY_CELL]", "bbox": [180, 48, 190, 58]}, {"cell": "48", "bbox": [240, 48, 250, 58]}, {"cell": "84.2%", "bbox": [276, 48, 297, 58]}, {"cell": "1.702", "bbox": [309, 48, 328, 58]}, {"cell": "0.679-4.267", "bbox": [343, 48, 381, 58]}, {"cell": "1.699", "bbox": [403, 48, 421, 58]}, {"cell": "0.620-4.653", "bbox": [443, 48, 480, 58]}, {"cell": "Scars at diagnosisNO", "bbox": [46, 61, 105, 80]}, {"cell": "[EMPTY_CELL]", "bbox": [178, 61, 191, 71]}, {"cell": "79", "bbox": [240, 61, 250, 71]}, {"cell": "78.2%", "bbox": [276, 61, 297, 71]}, {"cell": "1", "bbox": [316, 61, 321, 71]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Scars at diagnosisYES", "bbox": [46, 84, 105, 102]}, {"cell": "[EMPTY_CELL]", "bbox": [180, 84, 190, 93]}, {"cell": "16", "bbox": [240, 84, 250, 93]}, {"cell": "88.9%", "bbox": [276, 84, 297, 93]}, {"cell": "2.228", "bbox": [309, 84, 328, 93]}, {"cell": "0.476-10.434", "bbox": [341, 84, 383, 93]}, {"cell": "1.81", "bbox": [404, 84, 419, 93]}, {"cell": "0.349-9.383", "bbox": [443, 84, 480, 93]}, {"cell": "CRP < 12 mg/dL", "bbox": [48, 106, 104, 115]}, {"cell": "[EMPTY_CELL]", "bbox": [180, 106, 190, 115]}, {"cell": "45", "bbox": [240, 106, 250, 115]}, {"cell": "77.6%", "bbox": [276, 106, 297, 115]}, {"cell": "1", "bbox": [316, 106, 321, 115]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "CRP > = 12 mg/dL", "bbox": [44, 119, 108, 129]}, {"cell": "[EMPTY_CELL]", "bbox": [180, 119, 190, 129]}, {"cell": "47", "bbox": [240, 119, 250, 129]}, {"cell": "81.0%", "bbox": [276, 119, 297, 129]}, {"cell": "1.234", "bbox": [309, 119, 328, 129]}, {"cell": "0.501-3.039", "bbox": [343, 119, 381, 129]}, {"cell": "1.151", "bbox": [403, 119, 421, 129]}, {"cell": "0.425-3.117", "bbox": [443, 119, 480, 129]}, {"cell": "Negative urinary cultures or hemocultures", "bbox": [7, 132, 145, 142]}, {"cell": "[EMPTY_CELL]", "bbox": [180, 132, 190, 142]}, {"cell": "60", "bbox": [240, 132, 250, 142]}, {"cell": "74.1%", "bbox": [276, 132, 297, 142]}, {"cell": "1", "bbox": [316, 132, 321, 142]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Positive urinary cultures and/or hemocultures", "bbox": [20, 146, 132, 164]}, {"cell": "[EMPTY_CELL]", "bbox": [179, 146, 190, 155]}, {"cell": "35", "bbox": [240, 146, 250, 155]}, {"cell": "92.1%", "bbox": [275, 146, 298, 155]}, {"cell": "4.083", "bbox": [308, 146, 329, 155]}, {"cell": "1.136-14.679", "bbox": [339, 146, 385, 155]}, {"cell": "4.204", "bbox": [401, 146, 422, 155]}, {"cell": "1.139-15.515", "bbox": [438, 146, 484, 155]}, {"cell": "Presence of the 3 main symptoms", "bbox": [19, 168, 132, 177]}, {"cell": "[EMPTY_CELL]", "bbox": [180, 168, 190, 177]}, {"cell": "65", "bbox": [240, 168, 250, 177]}, {"cell": "84.4%", "bbox": [276, 168, 297, 177]}, {"cell": "1", "bbox": [316, 168, 321, 177]}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Absence of at least one of the 3 main symptoms", "bbox": [13, 181, 139, 199]}, {"cell": "[EMPTY_CELL]", "bbox": [180, 181, 190, 190]}, {"cell": "30", "bbox": [240, 181, 250, 190]}, {"cell": "71.4%", "bbox": [275, 181, 296, 190]}, {"cell": "0.462", "bbox": [309, 181, 328, 190]}, {"cell": "0.186-1.146", "bbox": [343, 181, 381, 190]}, {"cell": "0.437", "bbox": [403, 181, 421, 190]}, {"cell": "0.168-1.13", "bbox": [445, 181, 478, 190]}]}


[User]
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.

Please combine the final results into a single JSON object and return it in the following format:
{
  "html": "...",
  "cells": [{"cell": "...", "bbox": [...]}, ...]
}

[Assistant]
{"html": "

Gene	Species, Phenotype	Independent evidence for gene function	RIF ranking	Differentially expressed

MSTN	Cattle muscle, Piedmontese hyper-muscularity versus normal	Mapping, deep sequencing [60]	[EMPTY_CELL]	No

Alpha-Synuclein	Human brain, Parkinson’s disease versus healthy	Range of evidence including GWAS reviewed in [61]	[EMPTY_CELL]	Unknown. Patent was established to identify causal variants by transcriptome wiring, even when not DE

CDK8	Human colon, colorectal cancer versus healthy	Colorectal cancer oncogene regulates B-catenin [54]	[EMPTY_CELL]	No

P107	Human, brown fat tissue versus white fat tissue	P107 knockout mouse exhibits a uniform white to brown fat transition [62]	[EMPTY_CELL]	No

DLK1	Sheep muscle, Callipyge hyper- muscularity versus normal	Not proven, but DLK1 is the most DE highly abundant gene, and its expression is maintained post-natally in effected muscles only.	[EMPTY_CELL]	Yes, 2.14-fold up- regulation in callipyge individuals across all time points explored.

INSM1	Pig, 6 CNS tissues versus 21 other tissues	Neuroendocrine differentiation [63]	[EMPTY_CELL]	Yes, 3.8-Fold up- regulation in CNS

OXTR	Cattle muscle, steroid hormone induced muscling	No direct evidence, but OXT precursor is the most DE gene in this experiment, and is known to drive cardiac development.	[EMPTY_CELL]	No

CARM1	Human breast, breast cancer high survival versus low survival	Regulates estrogen stimulated breast cancer via E2F1 [64]	[EMPTY_CELL]	No

", "cells": [{"cell": "Gene", "bbox": [1, 4, 20, 13]}, {"cell": "Species, Phenotype", "bbox": [59, 4, 128, 13]}, {"cell": "Independent evidence for gene function", "bbox": [145, 4, 287, 13]}, {"cell": "RIF ranking", "bbox": [293, 4, 334, 13]}, {"cell": "Differentially expressed", "bbox": [356, 4, 442, 13]}, {"cell": "MSTN", "bbox": [1, 17, 21, 26]}, {"cell": "Cattle muscle, Piedmontese hyper-muscularity versus normal", "bbox": [59, 17, 140, 53]}, {"cell": "Mapping, deep sequencing [60]", "bbox": [145, 17, 249, 26]}, {"cell": "[EMPTY_CELL]", "bbox": [293, 15, 348, 26]}, {"cell": "No", "bbox": [356, 17, 368, 26]}, {"cell": "Alpha-Synuclein", "bbox": [1, 58, 53, 67]}, {"cell": "Human brain, Parkinson’s disease versus healthy", "bbox": [59, 58, 121, 85]}, {"cell": "Range of evidence including GWAS reviewed in [61]", "bbox": [145, 58, 261, 76]}, {"cell": "[EMPTY_CELL]", "bbox": [293, 58, 345, 94]}, {"cell": "Unknown. Patent was established to identify causal variants by transcriptome wiring, even when not DE", "bbox": [356, 58, 484, 94]}, {"cell": "CDK8", "bbox": [0, 99, 20, 108]}, {"cell": "Human colon, colorectal cancer versus healthy", "bbox": [59, 99, 115, 126]}, {"cell": "Colorectal cancer oncogene regulates B-catenin [54]", "bbox": [145, 99, 237, 117]}, {"cell": "[EMPTY_CELL]", "bbox": [293, 97, 344, 117]}, {"cell": "No", "bbox": [356, 99, 368, 108]}, {"cell": "P107", "bbox": [0, 131, 18, 140]}, {"cell": "Human, brown fat tissue versus white fat tissue", "bbox": [59, 131, 131, 158]}, {"cell": "P107 knockout mouse exhibits a uniform white to brown fat transition [62]", "bbox": [145, 131, 267, 158]}, {"cell": "[EMPTY_CELL]", "bbox": [293, 129, 349, 140]}, {"cell": "No", "bbox": [356, 131, 368, 140]}, {"cell": "DLK1", "bbox": [0, 162, 19, 172]}, {"cell": "Sheep muscle, Callipyge hyper- muscularity versus normal", "bbox": [59, 162, 119, 199]}, {"cell": "Not proven, but DLK1 is the most DE highly abundant gene, and its expression is maintained post-natally in effected muscles only.", "bbox": [145, 162, 265, 199]}, {"cell": "[EMPTY_CELL]", "bbox": [293, 161, 349, 190]}, {"cell": "Yes, 2.14-fold up- regulation in callipyge individuals across all time points explored.", "bbox": [356, 162, 429, 199]}, {"cell": "INSM1", "bbox": [1, 203, 23, 213]}, {"cell": "Pig, 6 CNS tissues versus 21 other tissues", "bbox": [59, 203, 133, 222]}, {"cell": "Neuroendocrine differentiation [63]", "bbox": [145, 203, 260, 213]}, {"cell": "[EMPTY_CELL]", "bbox": [293, 202, 350, 222]}, {"cell": "Yes, 3.8-Fold up- regulation in CNS", "bbox": [356, 203, 414, 222]}, {"cell": "OXTR", "bbox": [1, 226, 20, 236]}, {"cell": "Cattle muscle, steroid hormone induced muscling", "bbox": [59, 226, 118, 254]}, {"cell": "No direct evidence, but OXT precursor is the most DE gene in this experiment, and is known to drive cardiac development.", "bbox": [145, 226, 253, 263]}, {"cell": "[EMPTY_CELL]", "bbox": [293, 225, 346, 245]}, {"cell": "No", "bbox": [356, 226, 368, 236]}, {"cell": "CARM1", "bbox": [1, 267, 26, 277]}, {"cell": "Human breast, breast cancer high survival versus low survival", "bbox": [59, 267, 120, 303]}, {"cell": "Regulates estrogen stimulated breast cancer via E2F1 [64]", "bbox": [145, 267, 244, 286]}, {"cell": "[EMPTY_CELL]", "bbox": [293, 265, 351, 277]}, {"cell": "No", "bbox": [356, 267, 368, 277]}]}


[User]
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.

Please combine the final results into a single JSON object and return it in the following format:
{
  "html": "...",
  "cells": [{"cell": "...", "bbox": [...]}, ...]
}

[Assistant]
{"html": "

Setting	Context	Mechanism	Outcome

[EMPTY_CELL]	Systemic organisational change in general practice (implementation of the Health & Social Care Act 2012)	GPs avoid additional tasks that increase work burden or are perceived outwith remit	No engagement with the project despite potential for general practice as a discipline and patient gain

[EMPTY_CELL]	Top-down decision to involve care homes, during period of care home chain re-organisation	Care home managers avoid additional imposed tasks	No lasting engagement

[EMPTY_CELL]	Top-down decision to involve hospital ward, and period of major staff turnover	Ward staff minimise involvement, momentum lost when key staff leave	Selection of indicators for change in order to minimise workload and maximise gain

[EMPTY_CELL]	Competing demands in hospices & community teams, with funding challenges, periods of staff absence; but strong audit & research culture	Value of indicators appreciated, as supplement to existing audit & research culture	Changes made, effects seen, though extended implementation timescale required

", "cells": [{"cell": "Setting", "bbox": [1, 4, 25, 13]}, {"cell": "Context", "bbox": [113, 4, 140, 13]}, {"cell": "Mechanism", "bbox": [264, 4, 302, 13]}, {"cell": "Outcome", "bbox": [373, 4, 405, 13]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 17, 54, 27]}, {"cell": "Systemic organisational change in general practice (implementation of the Health & Social Care Act 2012)", "bbox": [113, 17, 251, 45]}, {"cell": "GPs avoid additional tasks that increase work burden or are perceived outwith remit", "bbox": [264, 17, 364, 45]}, {"cell": "No engagement with the project despite potential for general practice as a discipline and patient gain", "bbox": [373, 17, 460, 54]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 58, 41, 68]}, {"cell": "Top-down decision to involve care homes, during period of care home chain re-organisation", "bbox": [113, 58, 252, 86]}, {"cell": "Care home managers avoid additional imposed tasks", "bbox": [264, 58, 355, 77]}, {"cell": "No lasting engagement", "bbox": [373, 58, 451, 68]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 90, 50, 100]}, {"cell": "Top-down decision to involve hospital ward, and period of major staff turnover", "bbox": [113, 90, 258, 109]}, {"cell": "Ward staff minimise involvement, momentum lost when key staff leave", "bbox": [264, 90, 361, 118]}, {"cell": "Selection of indicators for change in order to minimise workload and maximise gain", "bbox": [373, 90, 467, 118]}, {"cell": "[EMPTY_CELL]", "bbox": [1, 122, 108, 141]}, {"cell": "Competing demands in hospices & community teams, with funding challenges, periods of staff absence; but strong audit & research culture", "bbox": [113, 122, 256, 159]}, {"cell": "Value of indicators appreciated, as supplement to existing audit & research culture", "bbox": [264, 122, 367, 150]}, {"cell": "Changes made, effects seen, though extended implementation timescale required", "bbox": [373, 122, 484, 150]}]}


[User]
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.

Please combine the final results into a single JSON object and return it in the following format:
{
  "html": "...",
  "cells": [{"cell": "...", "bbox": [...]}, ...]
}

[Assistant]
{"html": "

Latanoprost concentration (μg/mL)

[EMPTY_CELL]	50	75	100	[EMPTY_CELL]

N	71	70	72	[EMPTY_CELL]

Eye disorders

 Abnormal sensation in eye	3 (4.2)	4 (5.7)	7 (9.7)	[EMPTY_CELL]

 Anterior chamber disorder NOS	0 (0.0)	2 (2.9)	2 (2.8)	[EMPTY_CELL]

 Conjunctival disorder NOS	2 (2.8)	1 (1.4)	0 (0.0)	[EMPTY_CELL]

 Conjunctival edema	0 (0.0)	2 (2.9)	2 (2.8)	[EMPTY_CELL]

 Conjunctival hyperemia	12 (16.9)	13 (18.6)	15 (20.8)	[EMPTY_CELL]

 Dry eye NEC	1 (1.4)	2 (2.9)	4 (5.6)	[EMPTY_CELL]

 Eye irritation	5 (7.0)	7 (10.0)	6 (8.3)	[EMPTY_CELL]

 Eye pain	2 (2.8)	6 (8.6)	3 (4.2)	[EMPTY_CELL]

 Eyelid disorder NOS	0 (0.0)	2 (2.9)	0 (0.0)	[EMPTY_CELL]

 Keratitis NEC	2 (2.8)	4 (5.7)	3 (4.2)	[EMPTY_CELL]

 Ocular hyperemia*	5 (7.0)	4 (5.7)	5 (6.9)	[EMPTY_CELL]

 Red eye	3 (4.2)	5 (7.1)	6 (8.3)	[EMPTY_CELL]

 Vision blurred	1 (1.4)	0 (0.0)	2 (2.8)	[EMPTY_CELL]

Musculoskeletal, connective tissue and bone disorders

 Arthralgia	1 (1.4)	0 (0.0)	2 (2.8)	[EMPTY_CELL]

Nervous system disorders

 Headache NOS	4 (5.6)	4 (5.7)	3 (4.2)	[EMPTY_CELL]

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[User]
<image>
Please perform the following two tasks for this image:
1. Convert the table in the image into HTML format code.
2. Identify and extract the text content and its bounding box coordinates for each cell in the table.

Please combine the final results into a single JSON object and return it in the following format:
{
  "html": "...",
  "cells": [{"cell": "...", "bbox": [...]}, ...]
}

[Assistant]
{"html": "

[EMPTY_CELL]	Ulcerative colitis (n = 10)	Crohn's disease (n = 10)

[EMPTY_CELL]	2:3	2:3

[EMPTY_CELL]	50.6 ± 18.28	41.7 ± 13.1

[EMPTY_CELL]	7.3 ± 5.1	11.9 ± 10.7

[EMPTY_CELL]

[EMPTY_CELL]	10 (100)	2 (20)

[EMPTY_CELL]	0	1 (10)

[EMPTY_CELL]	0	6 (60)

[EMPTY_CELL]	0	1 (10)

[EMPTY_CELL]

[EMPTY_CELL]	0	0

[EMPTY_CELL]	8 (80)	5 (50)

[EMPTY_CELL]	0	5 (50)

[EMPTY_CELL]	2 (40)	0

[EMPTY_CELL]

[EMPTY_CELL]	0	2 (20)

[EMPTY_CELL]	6 (60)	5 (50)

[EMPTY_CELL]	7 (70)	6 (60)

[EMPTY_CELL]	0	1 (10)

[EMPTY_CELL]	3 (30)	4 (40)

", "cells": [{"cell": "[EMPTY_CELL]", "bbox": []}, {"cell": "Ulcerative colitis (n = 10)", "bbox": [112, 2, 147, 32]}, {"cell": "Crohn's disease (n = 10)", "bbox": [183, 2, 213, 32]}, {"cell": "[EMPTY_CELL]", "bbox": [2, 35, 42, 45]}, {"cell": "2:3", "bbox": [113, 35, 125, 45]}, {"cell": "2:3", "bbox": [184, 35, 196, 45]}, {"cell": "[EMPTY_CELL]", "bbox": [2, 53, 87, 62]}, {"cell": "50.6 ± 18.28", "bbox": [113, 53, 159, 62]}, {"cell": "41.7 ± 13.1", "bbox": [184, 53, 226, 62]}, {"cell": "[EMPTY_CELL]", "bbox": [2, 69, 73, 89]}, {"cell": "7.3 ± 5.1", "bbox": [113, 69, 147, 79]}, {"cell": "11.9 ± 10.7", "bbox": [184, 69, 226, 79]}, {"cell": "[EMPTY_CELL]", "bbox": [2, 97, 73, 106]}, {"cell": "[EMPTY_CELL]", "bbox": [10, 113, 66, 123]}, {"cell": "10 (100)", "bbox": [113, 113, 143, 123]}, {"cell": "2 (20)", "bbox": [184, 113, 206, 123]}, {"cell": "[EMPTY_CELL]", "bbox": [10, 131, 47, 141]}, {"cell": "0", "bbox": [113, 131, 119, 141]}, {"cell": "1 (10)", "bbox": [184, 131, 206, 141]}, {"cell": "[EMPTY_CELL]", "bbox": [10, 147, 39, 157]}, {"cell": "0", "bbox": [113, 147, 119, 157]}, {"cell": "6 (60)", "bbox": [184, 147, 206, 157]}, {"cell": "[EMPTY_CELL]", "bbox": [10, 165, 36, 175]}, {"cell": "0", "bbox": [113, 165, 119, 175]}, {"cell": "1 (10)", "bbox": [184, 165, 206, 175]}, {"cell": "[EMPTY_CELL]", "bbox": [2, 181, 59, 191]}, {"cell": "[EMPTY_CELL]", "bbox": [10, 199, 30, 209]}, {"cell": "0", "bbox": [113, 199, 119, 209]}, {"cell": "0", "bbox": [184, 199, 190, 209]}, {"cell": "[EMPTY_CELL]", "bbox": [10, 216, 30, 225]}, {"cell": "8 (80)", "bbox": [113, 216, 135, 225]}, {"cell": "5 (50)", "bbox": [184, 216, 206, 225]}, {"cell": "[EMPTY_CELL]", "bbox": [10, 233, 64, 243]}, {"cell": "0", "bbox": [113, 233, 119, 243]}, {"cell": "5 (50)", "bbox": [184, 233, 206, 243]}, {"cell": "[EMPTY_CELL]", "bbox": [10, 250, 55, 259]}, {"cell": "2 (40)", "bbox": [113, 250, 135, 259]}, {"cell": "0", "bbox": [184, 250, 190, 259]}, {"cell": "[EMPTY_CELL]", "bbox": [2, 268, 39, 277]}, {"cell": "[EMPTY_CELL]", "bbox": [10, 284, 53, 294]}, {"cell": "0", "bbox": [113, 284, 119, 294]}, {"cell": "2 (20)", "bbox": [184, 284, 206, 294]}, {"cell": "[EMPTY_CELL]", "bbox": [10, 302, 43, 311]}, {"cell": "6 (60)", "bbox": [113, 302, 135, 311]}, {"cell": "5 (50)", "bbox": [184, 302, 206, 311]}, {"cell": "[EMPTY_CELL]", "bbox": [10, 318, 51, 328]}, {"cell": "7 (70)", "bbox": [113, 318, 135, 328]}, {"cell": "6 (60)", "bbox": [184, 318, 206, 328]}, {"cell": "[EMPTY_CELL]", "bbox": [10, 336, 84, 346]}, {"cell": "0", "bbox": [113, 336, 119, 346]}, {"cell": "1 (10)", "bbox": [184, 336, 206, 346]}, {"cell": "[EMPTY_CELL]", "bbox": [10, 352, 51, 362]}, {"cell": "3 (30)", "bbox": [113, 352, 135, 362]}, {"cell": "4 (40)", "bbox": [184, 352, 206, 362]}]}