curl --request PATCH \
--url https://{region}.affinda.com/v2/job_descriptions/{identifier} \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"jobTitle": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>"
},
"contactEmail": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>",
"parsed": "John Smith"
},
"contactName": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>",
"parsed": "John Smith"
},
"contactPhone": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>",
"parsed": "John Smith"
},
"startDate": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>",
"parsed": "2022-02-09"
},
"endDate": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>",
"parsed": "2022-02-09"
},
"jobType": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>",
"parsed": "John Smith"
},
"languages": [
{
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>"
}
],
"skills": [
{
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>"
}
],
"organizationName": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>",
"parsed": "John Smith"
},
"organizationWebsite": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>",
"parsed": "John Smith"
},
"educationLevel": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>",
"parsed": "John Smith"
},
"educationAccreditation": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>",
"parsed": "John Smith"
},
"expectedRemuneration": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>",
"parsed": {
"minimum": "3455343.50",
"maximum": "55545343.50",
"currency": "USD",
"unit": "Annually"
}
},
"location": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>"
},
"certifications": [
{
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>",
"parsed": "John Smith"
}
],
"yearsExperience": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>",
"parsed": {
"minimum": 0.5,
"maximum": 5
}
}
}
'{
"jobTitle": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"rectangles": [
{
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
}
],
"pageIndex": 0,
"raw": "<string>",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"contentType": "<string>",
"dataPoint": "<string>",
"parsed": {
"name": "Software Developer",
"emsiId": "ETE2AD3A1C11B4EC9B",
"managementLevel": "Mid",
"classification": {
"socCode": 2463,
"title": "Clergy",
"minorGroup": "Welfare Professionals",
"subMajorGroup": "BUSINESS, MEDIA AND PUBLIC SERVICE PROFESSIONALS",
"majorGroup": "PROFESSIONAL OCCUPATIONS",
"minorGroupCode": 4122,
"subMajorGroupCode": 4122,
"majorGroupCode": 4122
}
}
},
"contactEmail": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"rectangles": [
{
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
}
],
"pageIndex": 0,
"raw": "<string>",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"contentType": "<string>",
"dataPoint": "<string>",
"parsed": "<string>"
},
"contactName": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"rectangles": [
{
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
}
],
"pageIndex": 0,
"raw": "<string>",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"contentType": "<string>",
"dataPoint": "<string>",
"parsed": "<string>"
},
"contactPhone": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"rectangles": [
{
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
}
],
"pageIndex": 0,
"raw": "<string>",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"contentType": "<string>",
"dataPoint": "<string>",
"parsed": "<string>"
},
"startDate": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"rectangles": [
{
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
}
],
"pageIndex": 0,
"raw": "<string>",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"contentType": "<string>",
"dataPoint": "<string>",
"parsed": "2022-02-09"
},
"endDate": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"rectangles": [
{
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
}
],
"pageIndex": 0,
"raw": "<string>",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"contentType": "<string>",
"dataPoint": "<string>",
"parsed": "2022-02-09"
},
"jobType": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"rectangles": [
{
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
}
],
"pageIndex": 0,
"raw": "<string>",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"contentType": "<string>",
"dataPoint": "<string>",
"parsed": "<string>"
},
"languages": [
{
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"rectangles": [
{
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
}
],
"pageIndex": 0,
"raw": "<string>",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"contentType": "<string>",
"dataPoint": "<string>",
"parsed": "Mandarin Chinese"
}
],
"skills": [
{
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"rectangles": [
{
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
}
],
"pageIndex": 0,
"raw": "<string>",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"contentType": "<string>",
"dataPoint": "<string>",
"parsed": "Mandarin Chinese"
}
],
"organizationName": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"rectangles": [
{
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
}
],
"pageIndex": 0,
"raw": "<string>",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"contentType": "<string>",
"dataPoint": "<string>",
"parsed": "<string>"
},
"organizationWebsite": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"rectangles": [
{
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
}
],
"pageIndex": 0,
"raw": "<string>",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"contentType": "<string>",
"dataPoint": "<string>",
"parsed": "<string>"
},
"educationLevel": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"rectangles": [
{
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
}
],
"pageIndex": 0,
"raw": "<string>",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"contentType": "<string>",
"dataPoint": "<string>",
"parsed": "<string>"
},
"educationAccreditation": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"rectangles": [
{
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
}
],
"pageIndex": 0,
"raw": "<string>",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"contentType": "<string>",
"dataPoint": "<string>",
"parsed": "<string>"
},
"expectedRemuneration": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"rectangles": [
{
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
}
],
"pageIndex": 0,
"raw": "<string>",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"contentType": "<string>",
"dataPoint": "<string>",
"parsed": {
"minimum": "3455343.50",
"maximum": "55545343.50",
"currency": "USD",
"unit": "Annually"
}
},
"location": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"rectangles": [
{
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
}
],
"pageIndex": 0,
"raw": "<string>",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"contentType": "<string>",
"dataPoint": "<string>",
"parsed": {
"rawInput": "Blacksburg, VA",
"formatted": "Blacksburg, VA, USA",
"postalCode": "3124",
"state": "Virginia",
"stateCode": "TX",
"country": "United States",
"countryCode": "US",
"streetNumber": "1",
"street": "Smith St",
"apartmentNumber": "12",
"city": "Blacksburg",
"latitude": "67.0124",
"longitude": "67.0124",
"poBox": "P.O. Box 123"
}
},
"certifications": [
{
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"rectangles": [
{
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
}
],
"pageIndex": 0,
"raw": "<string>",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"contentType": "<string>",
"dataPoint": "<string>",
"parsed": "<string>"
}
],
"yearsExperience": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"rectangles": [
{
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
}
],
"pageIndex": 0,
"raw": "<string>",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"contentType": "<string>",
"dataPoint": "<string>",
"parsed": {
"minimum": 0.5,
"maximum": 5
}
},
"rawText": "Human Resources Assistant Switzerland '... <rest of job description text>'"
}Update data of a job description.
The identifier is the unique ID returned after POST-ing the job description via the /job_descriptions endpoint.
curl --request PATCH \
--url https://{region}.affinda.com/v2/job_descriptions/{identifier} \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"jobTitle": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
"textExtractionConfidence": 0.9,
"isVerified": true,
"isClientVerified": true,
"isAutoVerified": true,
"dataPoint": "<string>",
"contentType": "<string>"
},
"contactEmail": {
"id": 2,
"rectangle": {
"x0": 2.43,
"y0": 4.55,
"x1": 4.56,
"y1": 6.32,
"pageIndex": 1
},
"pageIndex": 0,
"raw": "2/9/2022",
"confidence": 0.86,
"classificationConfidence": 0.95,
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"name": "Software Developer",
"emsiId": "ETE2AD3A1C11B4EC9B",
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"classification": {
"socCode": 2463,
"title": "Clergy",
"minorGroup": "Welfare Professionals",
"subMajorGroup": "BUSINESS, MEDIA AND PUBLIC SERVICE PROFESSIONALS",
"majorGroup": "PROFESSIONAL OCCUPATIONS",
"minorGroupCode": 4122,
"subMajorGroupCode": 4122,
"majorGroupCode": 4122
}
}
},
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},
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},
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}
],
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}
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},
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"stateCode": "TX",
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"streetNumber": "1",
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"apartmentNumber": "12",
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},
"rawText": "Human Resources Assistant Switzerland '... <rest of job description text>'"
}Basic authentication using an API key, e.g. {Authorization: Bearer 75z0bb4fbdf97b7e4111ff6c0015471094155f91}.
You can find your API key within the Settings page of the Affinda web app. You can obtain an API key by signing up for a free trial.
Job description identifier A random string that uniquely identify the resource.
Job description data to update
A JSON-encoded string of the JobDescriptionData object.
Show child attributes
x >= 1x >= 00
"2/9/2022"
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
Show child attributes
x >= 1Show child attributes
x >= 00
"2/9/2022"
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
"John Smith"
Show child attributes
x >= 1x >= 00
"2/9/2022"
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
"John Smith"
Show child attributes
x >= 1Show child attributes
x >= 00
"2/9/2022"
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
"John Smith"
Show child attributes
x >= 1x >= 00
"2/9/2022"
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
"2022-02-09"
Show child attributes
x >= 1x >= 00
"2/9/2022"
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
"2022-02-09"
Show child attributes
x >= 1x >= 00
"2/9/2022"
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
"John Smith"
Show child attributes
x >= 1x >= 00
"2/9/2022"
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
Show child attributes
x >= 1x >= 00
"2/9/2022"
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
Show child attributes
x >= 1Show child attributes
x >= 00
"2/9/2022"
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
"John Smith"
Show child attributes
x >= 1Show child attributes
2.43
4.55
4.56
6.32
x >= 01
x >= 00
"2/9/2022"
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
"John Smith"
Show child attributes
x >= 1Show child attributes
x >= 00
"2/9/2022"
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
"John Smith"
Show child attributes
x >= 1Show child attributes
2.43
4.55
4.56
6.32
x >= 01
x >= 00
"2/9/2022"
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
"John Smith"
Show child attributes
x >= 1Show child attributes
2.43
4.55
4.56
6.32
x >= 01
x >= 00
"2/9/2022"
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
Show child attributes
x >= 1x >= 00
"2/9/2022"
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
Show child attributes
x >= 1Show child attributes
x >= 00
"2/9/2022"
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
"John Smith"
Show child attributes
x >= 1Show child attributes
x >= 00
"2/9/2022"
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
For custom fields. E.g. 'isAvailable': true
Successfully updated job description data
Show child attributes
x >= 1x >= 00
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
Matching job title to extracted text
Show child attributes
"Software Developer"
EMSI id of the normalised job title.
"ETE2AD3A1C11B4EC9B"
"Mid"
Show child attributes
2463
"Clergy"
"Welfare Professionals"
"BUSINESS, MEDIA AND PUBLIC SERVICE PROFESSIONALS"
"PROFESSIONAL OCCUPATIONS"
The 4 digit code representing the SOC2020 classification for this job title
0 <= x <= 99994122
The 4 digit code representing the SOC2020 classification for this job title
0 <= x <= 99994122
The 4 digit code representing the SOC2020 classification for this job title
0 <= x <= 99994122
Show child attributes
x >= 1Show child attributes
Show child attributes
x >= 00
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
Show child attributes
x >= 1Show child attributes
x >= 00
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
Show child attributes
x >= 1Show child attributes
Show child attributes
x >= 00
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
Show child attributes
x >= 1x >= 00
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
"2022-02-09"
Show child attributes
x >= 1x >= 00
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
"2022-02-09"
Show child attributes
x >= 1x >= 00
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
Show child attributes
x >= 1x >= 00
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
"Mandarin Chinese"
Show child attributes
x >= 1x >= 00
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
"Mandarin Chinese"
Show child attributes
x >= 1Show child attributes
Show child attributes
2.43
4.55
4.56
6.32
x >= 01
x >= 00
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
Show child attributes
x >= 1Show child attributes
2.43
4.55
4.56
6.32
x >= 01
Show child attributes
2.43
4.55
4.56
6.32
x >= 01
x >= 00
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
Show child attributes
x >= 1Show child attributes
Show child attributes
x >= 00
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
Show child attributes
x >= 1Show child attributes
2.43
4.55
4.56
6.32
x >= 01
Show child attributes
2.43
4.55
4.56
6.32
x >= 01
x >= 00
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
Show child attributes
x >= 1Show child attributes
2.43
4.55
4.56
6.32
x >= 01
Show child attributes
2.43
4.55
4.56
6.32
x >= 01
x >= 00
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
Show child attributes
x >= 1x >= 00
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
Show child attributes
"Blacksburg, VA"
"Blacksburg, VA, USA"
"3124"
"Virginia"
"TX"
"United States"
Two letter country code (ISO 3166-1 alpha-2)
"US"
"1"
"Smith St"
"12"
"Blacksburg"
"67.0124"
"67.0124"
"P.O. Box 123"
Show child attributes
x >= 1Show child attributes
Show child attributes
x >= 00
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
Show child attributes
x >= 1Show child attributes
Show child attributes
x >= 00
The overall confidence that the model's prediction is correct
0.86
The model's confidence that the text has been classified correctly
0.95
If the document was submitted as an image, this is the confidence that the text in the image has been correctly read by the model.
0.9
All of the raw text of the parsed job description, example is shortened for readability
"Human Resources Assistant Switzerland '... <rest of job description text>'"
For custom fields. E.g. 'isAvailable': true