{"id":"W4206485127","doi":"10.1093/socpro/spab082","title":"Bridging Boundaries? The Effect of Genetic Ancestry Testing on Ties across Racial Groups","year":2021,"lang":"en","type":"article","venue":"Social Problems","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Racial diversity; Bridging (networking); Diversity (politics); White (mutation); Race (biology); Test (biology); Racial differences; Ethnic group; Social capital; Asian americans; Racism; African american; Latin Americans; Social psychology; Psychology; Demography; Sociology; Political science; Gender studies; Law; Ethnology; Genetics; Anthropology; Biology; Social science; Computer science; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.000388296,0.0001646483,0.0002046784,0.000005747378,0.000925153,0.0001228571,0.000185314,0.0001937214,0.000004705133],"category_scores_gemma":[0.0002946732,0.0001352437,0.0001695302,0.0001313815,0.0006052721,0.000003086173,0.0001462036,0.0001829552,0.000003589595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001731404,"about_ca_system_score_gemma":0.0001358428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003074779,"about_ca_topic_score_gemma":0.00008611389,"domain_scores_codex":[0.9987381,0.000171884,0.0002367704,0.0003152923,0.0002025101,0.0003354206],"domain_scores_gemma":[0.9994049,0.00004857794,0.0001459113,0.0002413154,0.0001223421,0.00003692913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001661561,0.0001120366,0.08452626,0.0005080451,0.0003500384,0.00001350209,0.01286196,0.001511692,0.8307366,0.0002157089,0.003724931,0.06527303],"study_design_scores_gemma":[0.003203707,0.002377808,0.1094325,0.0001515513,0.0001459396,0.00004040858,0.00344875,0.0005514491,0.8437359,0.001500786,0.03432262,0.001088543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960147,0.001752793,0.0003539149,0.0001843274,0.00039331,0.0001856735,0.00002667292,0.00001451083,0.001074109],"genre_scores_gemma":[0.9979515,0.0000677604,0.0001758187,0.00016224,0.001244192,0.00002463804,0.00003344142,0.00002571344,0.0003147174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06418449,"threshold_uncertainty_score":0.7115622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01782695434723022,"score_gpt":0.2828563028242134,"score_spread":0.2650293484769832,"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."}}