{"id":"W2811313855","doi":"10.1086/697487","title":"Genetic Options: The Impact of Genetic Ancestry Testing on Consumers’ Racial and Ethnic Identities","year":2018,"lang":"en","type":"article","venue":"American Journal of Sociology","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ethnic group; Racialization; Genetic genealogy; Privilege (computing); Race (biology); Identity (music); White (mutation); Social psychology; Sociology; Genetic testing; Gender studies; Psychology; Political science; Demography; Genetics; Population; Anthropology; Law; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003022319,0.0001322591,0.0002745292,0.00003687717,0.0001457182,0.000009636268,0.0002161983,0.0001008547,0.00001211922],"category_scores_gemma":[0.0002628095,0.00009326649,0.0001713673,0.00008480481,0.004067059,0.000003402337,0.00005694015,0.0001853372,0.000002169989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001909713,"about_ca_system_score_gemma":0.0001853847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004644404,"about_ca_topic_score_gemma":0.000007871064,"domain_scores_codex":[0.9989168,0.0002393104,0.0003640891,0.0001607525,0.0001006663,0.0002183645],"domain_scores_gemma":[0.99874,0.0001344355,0.0005716046,0.0001933356,0.0002883792,0.00007224357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004143865,0.0001681539,0.5130984,0.00002389711,0.00116609,0.00001512012,0.009616588,0.0009568122,0.4014266,0.00006821992,0.001960079,0.07108577],"study_design_scores_gemma":[0.000546963,0.007285616,0.9834359,0.00002102269,0.00007058733,0.0002904617,0.004448849,0.00006402666,0.00251512,0.001029152,0.0001236712,0.0001685812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936469,0.005519797,0.0003807514,0.00008660038,0.0001593195,0.00006226003,0.000008677956,0.000002158817,0.0001335195],"genre_scores_gemma":[0.99321,0.002932782,0.002925268,0.0002288089,0.0006605547,0.000002257542,0.000001286624,0.00001386126,0.00002518078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4703376,"threshold_uncertainty_score":0.9986433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03248680221736255,"score_gpt":0.3414053571547874,"score_spread":0.3089185549374248,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}