{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006997669,0.0001392648,0.0001338591,0.0004033425,0.004000347,0.003936335,0.0004763715,0.001800169,0.005489769],"category_scores_gemma":[0.01917176,0.0002057573,0.0003288651,0.0003023611,0.006720888,0.003588689,0.004215462,0.002103693,0.0002374419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002686525,"about_ca_system_score_gemma":0.002113402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008910866,"about_ca_topic_score_gemma":0.008937182,"domain_scores_codex":[0.9951559,0.003661948,0.00006359589,0.0001578427,0.0005343702,0.0004263638],"domain_scores_gemma":[0.9836479,0.01270157,0.001142405,0.0004148654,0.0008676468,0.00122562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0007070106,0.0009923265,0.2012886,0.0001780337,0.00004837124,0.002265705,0.6012951,0.0003976871,0.001677595,0.1182689,0.006428654,0.066452],"study_design_scores_gemma":[0.000148005,0.0004188504,0.1047037,0.0003632128,0.0001271971,0.0005942649,0.7946607,0.002079742,0.001463579,0.05434172,0.04100026,0.00009869887],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393619,0.0001990177,0.0006141037,0.01221406,0.0000512201,0.00002351827,0.00001640731,0.000005765196,0.04751393],"genre_scores_gemma":[0.9985147,0.00005261701,0.0001381442,0.0005553684,0.00000597938,0.000007777607,0.000003633937,0.000002307693,0.0007195149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9959996,"threshold_uncertainty_score":0.03700769,"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."}}