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Evaluation of using the SOCcer automated occupation auto-coding algorithm to assist expert coding of job descriptions.

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Title: Evaluation of using the SOCcer automated occupation auto-coding algorithm to assist expert coding of job descriptions.
Authors: Josse PR; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, United States., Russ DE; Data Science and Engineering Research Group, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, United States., Orszag L; Data Science and Engineering Research Group, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, United States., Peters CE; BC Centre for Disease Control, 655 West 12th Avenue, Vancouver, BC V5Z 4R4, Canada.; BC Cancer, 675 West 10th Avenue, Vancouver, BC V5Z 1L3, Canada.; Occupational and Environmental Health Division, School of Population and Public Health, 2206 East Mall, UBC, Vancouver, BC V6T 1Z3, Canada., Shen-Tu G; Alberta's Tomorrow Project, Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, 3395 Hospital Drive NW, Calgary, AB T2N 5G2, Canada., Vena JE; Alberta's Tomorrow Project, Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, 3395 Hospital Drive NW, Calgary, AB T2N 5G2, Canada., Friesen MC; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, United States.
Source: Annals of work exposures and health [Ann Work Expo Health] 2026 May 12; Vol. 70 (4).
Publication Type: Journal Article; Evaluation Study
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 101698454 Publication Model: Print Cited Medium: Internet ISSN: 2398-7316 (Electronic) Linking ISSN: 23987308 NLM ISO Abbreviation: Ann Work Expo Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Josse+PR%22">Josse PR</searchLink>; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, United States.<br /><searchLink fieldCode="AU" term="%22Russ+DE%22">Russ DE</searchLink>; Data Science and Engineering Research Group, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, United States.<br /><searchLink fieldCode="AU" term="%22Orszag+L%22">Orszag L</searchLink>; Data Science and Engineering Research Group, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, United States.<br /><searchLink fieldCode="AU" term="%22Peters+CE%22">Peters CE</searchLink>; BC Centre for Disease Control, 655 West 12th Avenue, Vancouver, BC V5Z 4R4, Canada.; BC Cancer, 675 West 10th Avenue, Vancouver, BC V5Z 1L3, Canada.; Occupational and Environmental Health Division, School of Population and Public Health, 2206 East Mall, UBC, Vancouver, BC V6T 1Z3, Canada.<br /><searchLink fieldCode="AU" term="%22Shen-Tu+G%22">Shen-Tu G</searchLink>; Alberta's Tomorrow Project, Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, 3395 Hospital Drive NW, Calgary, AB T2N 5G2, Canada.<br /><searchLink fieldCode="AU" term="%22Vena+JE%22">Vena JE</searchLink>; Alberta's Tomorrow Project, Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, 3395 Hospital Drive NW, Calgary, AB T2N 5G2, Canada.<br /><searchLink fieldCode="AU" term="%22Friesen+MC%22">Friesen MC</searchLink>; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, United States.
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        Value: 10.1093/annweh/wxag031
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        Text: English
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      – TitleFull: Evaluation of using the SOCcer automated occupation auto-coding algorithm to assist expert coding of job descriptions.
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              Text: 2026 May 12
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              Y: 2026
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